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  • Open Access

    ARTICLE

    A Novel Approach for Improving the PQ in SPIM

    P. Jenitha Deepa*, H. Habeebullah Sait

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2703-2715, 2023, DOI:10.32604/iasc.2023.030496

    Abstract Single Phase Induction Motor (SPIM) is widely used in industries at starting stage to provide high starting torque. The objective of the work is to develop a drive for Single Phase Induction Motor that does not use a start or run capacitor. In this work, the researchers present the details about Maximum Power Point Tracking using series-compensated Buck Boost Converter, resonant Direct Current (DC) to Alternate Current (AC) inverter and matrix converter-based drive. The proposed method provides a variable starting torque feature that can be adjusted depending upon machine load to ensure Power Quality (PQ). The system uses Series Compensated… More >

  • Open Access

    ARTICLE

    Harmonics Mitigation Using MMC Based UPFC and Particle Swarm Optimization

    C. Gnana Thilaka*, M. Mary Linda

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3429-3445, 2023, DOI:10.32604/iasc.2023.024028

    Abstract The application of non-linear loads in the power electronic device causes serious harmonic issues in the power system since it has the intrinsic property of retrieving harmonic current and reactive power from Alternating Current (AC) supply that leads to voltage instability. To maintain a reliable power flow in the power system, an innovative Unified Power Flow Converter (UPFC) is utilized in this proposed approach. The conventional series converter is replaced with the Modular Multilevel Converter (MMC) that improves the power handling capability and achieves higher modular level with minimized distortions. The shunt compensator assists in minimizing the voltage fluctuations and… More >

  • Open Access

    ARTICLE

    Q-Learning-Based Pesticide Contamination Prediction in Vegetables and Fruits

    Kandasamy Sellamuthu*, Vishnu Kumar Kaliappan

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 715-736, 2023, DOI:10.32604/csse.2023.029017

    Abstract Pesticides have become more necessary in modern agricultural production. However, these pesticides have an unforeseeable long-term impact on people's wellbeing as well as the ecosystem. Due to a shortage of basic pesticide exposure awareness, farmers typically utilize pesticides extremely close to harvesting. Pesticide residues within foods, particularly fruits as well as veggies, are a significant issue among farmers, merchants, and particularly consumers. The residual concentrations were far lower than these maximal allowable limits, with only a few surpassing the restrictions for such pesticides in food. There is an obligation to provide a warning about this amount of pesticide use in… More >

  • Open Access

    ARTICLE

    Progressive Transfer Learning-based Deep Q Network for DDOS Defence in WSN

    S. Rameshkumar1,*, R. Ganesan2, A. Merline1

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2379-2394, 2023, DOI:10.32604/csse.2023.027910

    Abstract In The Wireless Multimedia Sensor Network (WNSMs) have achieved popularity among diverse communities as a result of technological breakthroughs in sensor and current gadgets. By utilising portable technologies, it achieves solid and significant results in wireless communication, media transfer, and digital transmission. Sensor nodes have been used in agriculture and industry to detect characteristics such as temperature, moisture content, and other environmental conditions in recent decades. WNSMs have also made apps easier to use by giving devices self-governing access to send and process data connected with appropriate audio and video information. Many video sensor network studies focus on lowering power… More >

  • Open Access

    ARTICLE

    Human Fatty Liver Monitoring Using Nano Sensor and IoMT

    Srilekha Muthukaruppankaruppiah1,*, Shanker Rajendiran Nagalingam2, Priya Murugasen3, Rajesh Nandaamarnath4

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2309-2323, 2023, DOI:10.32604/iasc.2023.029598

    Abstract Malfunction of human liver happens due to non-alcoholic fatty liver. Fatty liver measurement is used for grading hepatic steatosis, fibrosis and cirrhosis. The various imaging techniques for measuring fatty liver are Magnetic Resonance Imaging, Ultrasound and Computed Tomography. Imaging modalities lead to the exposure of harmful radiation of electromagnetic waves because of frequent measurement. The continuous monitoring of fatty liver is never achieved through imaging techniques. In this paper, the human fatty liver measured through a Fatty Liver Sensor (FLS). The continuous monitoring of the fatty liver is achieved through the FLS. FLS is fabricated through the screen-printing with materials… More >

  • Open Access

    REVIEW

    Anticancer Activity of Novel NF-kB Inhibitor DHMEQ by Intraperitoneal Administration

    Kazuo Umezawa*, Andrzej Breborowicz, Shamil Gantsev

    Oncology Research, Vol.28, No.5, pp. 541-550, 2020, DOI:10.3727/096504020X15929100013698

    Abstract There have been great advances in the therapy of cancer and leukemia. However, there are still many neoplastic diseases that are difficult to treat. For example, it is often difficult to find effective therapies for aggressive cancer and leukemia. An NF- B inhibitor named dehydroxymethylepoxyquinomicin (DHMEQ) was discovered in 2000. This compound was designed based on the structure of epoxyquinomicin isolated from a microorganism. It was shown to be a specific inhibitor that directly binds to and inactivates NF- B components. Until now, DHMEQ has been used by many scientists in the world to suppress animal models of cancer and… More >

  • Open Access

    ARTICLE

    Artificial Potential Field Incorporated Deep-Q-Network Algorithm for Mobile Robot Path Prediction

    A. Sivaranjani1,*, B. Vinod2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1135-1150, 2023, DOI:10.32604/iasc.2023.028126

    Abstract Autonomous navigation of mobile robots is a challenging task that requires them to travel from their initial position to their destination without collision in an environment. Reinforcement Learning methods enable a state action function in mobile robots suited to their environment. During trial-and-error interaction with its surroundings, it helps a robot to find an ideal behavior on its own. The Deep Q Network (DQN) algorithm is used in TurtleBot 3 (TB3) to achieve the goal by successfully avoiding the obstacles. But it requires a large number of training iterations. This research mainly focuses on a mobility robot’s best path prediction… More >

  • Open Access

    ARTICLE

    Metabolomics Analysis of Metabolites in Forsythia suspense Fruit Using UPLC/ESI-Q TRAP-MS/MS

    Lingdi Liu, Chunxiu Wen, Wei Tian, Xiaoliang Xie, Saiqun Wen, Tao Jiang*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2313-2330, 2022, DOI:10.32604/phyton.2022.020295

    Abstract Forsythiae Fructus, the fruit of Forsythia suspense is a traditional Chinese hebal medicine that has the antiviral and antioxidant effects in China. Modern analytical chemistry studies showed that the extracts of Forsythiae Fructus contain many bioactive components, such as flavonoids, lignans, phenolic acids, and terpenoids, which can be used to anti-inflammatory and treat toxicity, tonsillitis, ulcers, pharyngitis and acute nephritis. In order to study the types and quantities of metabolites in Forsythiae Fructus, we isolated, identified and analysed metabolites between two varieties of Forsythiae Fructus using UPLC/ESI-Q TRAP-MS/MS. The results showed that a total of 407 metabolites were identified in… More >

  • Open Access

    ARTICLE

    A TMA-Seq2seq Network for Multi-Factor Time Series Sea Surface Temperature Prediction

    Qi He1, Wenlong Li1, Zengzhou Hao2, Guohua Liu3, Dongmei Huang1, Wei Song1,*, Huifang Xu4, Fayez Alqahtani5, Jeong-Uk Kim6

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 51-67, 2022, DOI:10.32604/cmc.2022.026771

    Abstract Sea surface temperature (SST) is closely related to global climate change, ocean ecosystem, and ocean disaster. Accurate prediction of SST is an urgent and challenging task. With a vast amount of ocean monitoring data are continually collected, data-driven methods for SST time-series prediction show promising results. However, they are limited by neglecting complex interactions between SST and other ocean environmental factors, such as air temperature and wind speed. This paper uses multi-factor time series SST data to propose a sequence-to-sequence network with two-module attention (TMA-Seq2seq) for long-term time series SST prediction. Specifically, TMA-Seq2seq is an LSTM-based encoder-decoder architecture facilitated by… More >

  • Open Access

    ARTICLE

    HARQ Optimization for PDCP Duplication-Based 5G URLLC Dual Connectivity

    Changsung Lee1,3, Junsung Kim2,3, Jaewook Jung3, Jungsuk Baik3, Jong-Moon Chung3,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 727-738, 2022, DOI:10.32604/cmc.2022.024824

    Abstract Packet duplication (PD) with dual connectivity (DC) was newly introduced in the 5G New Radio (NR) specifications to meet the stringent ultra reliable low latency communication (URLLC) requirements. PD technology uses duplicated packets in the packet data convergence protocol (PDCP) layer that are transmitted via two different access nodes (ANs) to the user equipment (UE) in order to enhance the reliability performance. However, PD can result in unnecessary retransmissions in the lower layers since the hybrid automatic retransmission request (HARQ) operation is unaware of the transmission success achieved through the alternate DC link to the UE. To overcome this issue,… More >

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