Nima Pirhadi¹, Xusheng Wan¹, Jianguo Lu¹, Jilei Hu^2,3,*, Mahmood Ahmad^4,5, Farzaneh Tahmoorian⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 733-754, 2023, DOI:10.32604/cmes.2022.022207 - 29 September 2022

Abstract Liquefaction is one of the most destructive phenomena caused by earthquakes, which has been studied in the issues of potential, triggering and hazard analysis. The strain energy approach is a common method to investigate liquefaction potential. In this study, two Artificial Neural Network (ANN) models were developed to estimate the liquefaction resistance of sandy soil based on the capacity strain energy concept (W) by using laboratory test data. A large database was collected from the literature. One group of the dataset was utilized for validating the process in order to prevent overtraining the presented model. To… More >

Qiang Li^1,2,*, Pan Chen¹, Lihong Gao¹, Dan Meng¹, Jinjie Zou¹

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 465-481, 2023, DOI:10.32604/cmes.2022.020300 - 29 September 2022

Abstract Monopiles are the most common foundation form of offshore wind turbines, which bear the vertical load, lateral load and bending moment. It remains uncertain whether the applied vertical load increases the lateral deflection of the pile. This paper investigated the influence of vertical load on the behaviour of monopiles installed in the sand under combined load using three-dimensional numerical methods. The commercial software PLAXIS was used for simulations in this paper. Monopiles were modelled as a structure incorporating linear elastic material behaviour and soil was modelled using the Hardening-Soil (HS) constitutive model. The monopiles under… More >

Saima Kanwal¹, Feng Tao^1,*, Ahmad Almogren², Ateeq Ur Rehman³, Rizwan Taj¹, Ayman Radwan⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 201-219, 2023, DOI:10.32604/cmes.2022.020255 - 24 August 2022

Abstract The authenticity and integrity of healthcare is the primary objective. Numerous reversible watermarking schemes have been developed to improve the primary objective but increasing the quantity of embedding data leads to covering image distortion and visual quality resulting in data security detection. A trade-off between robustness, imperceptibility, and embedded capacity is difficult to achieve with current algorithms due to limitations in their ability. Keeping this purpose insight, an improved reversibility watermarking methodology is proposed to maximize data embedding capacity and imperceptibility while maintaining data security as a primary concern. A key is generated by a… More >

R. Nandakumar¹, Vijayakumar Ponnusamy^2,*, Aman Kumar Mishra²

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2805-2819, 2023, DOI:10.32604/iasc.2023.028645 - 17 August 2022

Abstract In the Internet of Things (IoT) scenario, many devices will communicate in the presence of the cellular network; the chances of availability of spectrum will be very scary given the presence of large numbers of mobile users and large amounts of applications. Spectrum prediction is very encouraging for high traffic next-generation wireless networks, where devices/machines which are part of the Cognitive Radio Network (CRN) can predict the spectrum state prior to transmission to save their limited energy by avoiding unnecessarily sensing radio spectrum. Long short-term memory (LSTM) is employed to simultaneously predict the Radio Spectrum More >

A. Durgadevi^*, N. Shanmugavadivoo

Computer Systems Science and Engineering, Vol.44, No.3, pp. 1951-1971, 2023, DOI:10.32604/csse.2023.026810 - 01 August 2022

Abstract

Contemporarily, the development of distributed generations (DGs) technologies is fetching more, and their deployment in power systems is becoming broad and diverse. Consequently, several glitches are found in the recent studies due to the inappropriate/inadequate penetrations. This work aims to improve the reliable operation of the power system employing reliability indices using a metaheuristic-based algorithm before and after DGs penetration with feeder system. The assessment procedure is carried out using MATLAB software and Modified Salp Swarm Algorithm (MSSA) that helps assess the Reliability indices of the proposed integrated IEEE RTS79 system for seven different configurations.

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Rasool M. Imran^1,2,*, Mohammed R. Saeed¹, Mohammed Amer Mohammed³, Osama A. Suhry³, Ihsan H. Abdulqadder⁴, Hasan Wahhab Salih⁵, Mohammed R. Almallah⁶, Firas M. F. Flaih³

Energy Engineering, Vol.119, No.6, pp. 2447-2467, 2022, DOI:10.32604/ee.2022.021871 - 14 September 2022

Abstract

Usually, rural areas can be electrified via three-phase distribution transformers with relatively large capacities. In such areas, low voltage lines are used for long distances, which cause power losses and voltage drop for different types of consumers. Reducing losses and improving voltage profiles in rural distribution networks are significant challenges for electricity distribution companies. However different solutions were proposed in the literature to overcome these challenges, most of them face difficulties when applied in the conventional distribution network. To address the above issues, an applicable solution is proposed in this paper by installing a number

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Baoge Zhang¹, Shanyan Ping^1,*, Haoliang Shi², Yi Long¹, Boxiang Wu¹, Yuemin Jiao¹

Energy Engineering, Vol.119, No.6, pp. 2347-2367, 2022, DOI:10.32604/ee.2022.021693 - 14 September 2022

Abstract Renewable energy is connected to the grid through the inverter, which in turn reduces the inertia and stability of the power grid itself. The traditional grid-connected inverter does not have the function of voltage regulation and frequency regulation and can therefore no longer adapt to the new development. The virtual synchronous generator (VSG) has the function of voltage regulation and frequency regulation, which has more prominent advantages than traditional inverters. Based on the principle of VSG, the relationship between the frequency characteristics and the energy storage capacity of the feedforward branch-based virtual synchronous machine (FVSG) More >

Ruoqiong Li^1,*, Linrun Xiao¹, Jingtao Lu², Xin Li²

Energy Engineering, Vol.119, No.6, pp. 2533-2548, 2022, DOI:10.32604/ee.2022.020803 - 14 September 2022

Abstract In electrified railways, traction load not only fluctuates between peaks and valleys, but also has a situation of low utilization rate of average load throughout the day and short overload. The traction transformer selects the capacity with the peak load as the demand boundary, which will cause the capacity utilization rate to be low and even lead to the economic decline of the traction power supply system. This article summarizes the existing configuration methods for capacity optimization of traction transformer. Then under the conditions of energy storage and new energy access to traction power supply… More >

Saied M. Abd El-atty^1,*, Nancy A. Arafa¹, Atef Abouelazm¹, Osama Alfarraj², Konstantinos A. Lizos³, Farid Shawki¹

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 111-131, 2022, DOI:10.32604/cmes.2022.020793 - 18 July 2022

Abstract Artificial intelligence (AI) has recently been used in nanomedical applications, in which implanted intelligent nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the Internet of biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures can be used to approach the nanosystem. In nanomedical applications, the blood vascular medium serves as a communication channel, demonstrating a molecular communication system based on flow and diffusion. This paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication nanosystems that takes into account the More >

YOLANDA GONZÁLEZ-GARCÍA¹, VALERIA FLORES-ROBLES², GREGORIO CADENAS-PLIEGO³, ADALBERTO BENAVIDES-MENDOZA⁴, MARCELINO CABRERA DE LA FUENTE⁴, ALBERTO SANDOVAL-RANGEL⁴, ANTONIO JUÁREZ-MALDONADO^1,*

BIOCELL, Vol.46, No.11, pp. 2497-2506, 2022, DOI:10.32604/biocell.2022.021861 - 07 July 2022

Abstract The metabolic activity of the fruits continues even after harvest, which results in the loss of bioactive compounds, a decrease in the quality of the fruits, softening and browning, among other negative effects. The use of certain elements such as silicon can improve postharvest quality, since it is involved in the metabolic, physiological and structural activity of plants, moreover can increase the quality of the fruits. In addition, nanotechnology has had a positive impact on crop yield, nutritional value, fruit quality and can improve antioxidant activity. For these reasons, the use of beneficial elements such… More >