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  • Open Access

    ARTICLE

    STUDY ON THERMAL-HYDRAULIC PERFORMANCE OF THE PRINTED CIRCUIT HEAT EXCHANGER WITH AIRFOIL FINS FOR SUPERCRITICAL LIQUEFIED NATURAL GAS

    Yulin Tiana , Chengyi Longb, Linghong Tanga,*

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-11, 2022, DOI:10.5098/hmt.19.18

    Abstract In this study, the thermal-hydraulic performance of eight different printed circuit heat exchanger (PCHE) configurations with supercritical liquefied natural gas as the working fluid are studied by a numerical method. Firstly, the thermal-hydraulic performance of the PCHE with different airfoil fins are investigated at different operating pressures, which indicate that the PCHE with airfoil fins has better thermal performance but worse hydraulic performance when it operates at higher pressure condition. Furthermore, the effects of different airfoil configurations on the thermal-hydraulic performance are analyzed in detail. The results show that asymmetric airfoils can provide better heat transfer performance than symmetrical airfoils.… More >

  • Open Access

    ARTICLE

    LAB-SCALE SYSTEM FOR SMALL RAM PUMP’S TESTING AND PERFORMANCE EVALUATION

    M. El-Bayoumia,†, A. M. Abouel-Fotouha, Amal El Berrya

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-6, 2023, DOI:10.5098/hmt.20.8

    Abstract Ram pumps employ renewable energy in the form of water head to pump water, but they have performance issues that require difficult on-site testing and tuning, hence limiting their application. The current research developed a low-cost lab-scale testing system for small ram pumps’ performance evaluation, tuning and leak testing. The developed system is made from available, low-cost, sensors and components. It conserves test water by setting the supply head through continuous circulation of water. The system was tested on a low-cost small sized ram pump, specially built using plumbing components. Test results demonstrated the capacity of the developed testing system. More >

  • Open Access

    EDITORIAL

    Assessment on Fault Diagnosis and State Evaluation of New Power Grid: A Review

    Bo Yang1, Yulin Li1, Yaxing Ren2, Yixuan Chen3, Xiaoshun Zhang4, Jingbo Wang5,*

    Energy Engineering, Vol.120, No.6, pp. 1287-1293, 2023, DOI:10.32604/ee.2023.027801

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

    Xueqing Lu, Yuetao Shi*, Jinsong Li

    Energy Engineering, Vol.120, No.6, pp. 1325-1352, 2023, DOI:10.32604/ee.2023.026142

    Abstract In this study, a model of combined cooling, heating and power system with municipal solid waste (MSW) and liquefied natural gas (LNG) as energy sources was proposed and developed based on the energy demand of a large community, and MSW was classified and utilized. The system operated by determining power by heating load, and measures were taken to reduce operating costs by purchasing and selling LNG, natural gas (NG), cooling, heating, and power. Based on this system model, three operation strategies were proposed based on whether MSW was classified and the length of kitchen waste fermentation time, and each strategy… More > Graphic Abstract

    Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

  • Open Access

    ARTICLE

    Evaluation of Pre-Emergence and Post-Emergence Herbicides for Weed Management in Miscanthus sacchariflorus and Miscanthus sinensis

    Bimal Kumar Ghimire1, Chang Yeon Yu2, Seung Hyun Kim1, Ill Min Chung1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1439-1467, 2023, DOI:10.32604/phyton.2023.023076

    Abstract Miscanthus, is a promising bioenergy crop, considered superior to other bioenergy crops because of its higher water and nutrient use efficiency, cold tolerance, and higher production of biomass. Broadleaf weeds and grass weeds, cause major problems in the Miscanthus field. A field experiment was conducted in 2018 and 2019, to assess the effects of pre-emergence (alachlor and napropamide) and post-emergence herbicides (nicosulfuron, dicamba, bentazon, and glufosinate ammonium) on broadleaf and grass weeds in M. sinensis and M. sacchariflorus fields. The weed control efficiency and phytotoxicity of pre- and post-emergence herbicides were evaluated at 30 days after treatment (DAT) and compared… More >

  • Open Access

    ARTICLE

    Evaluation of Water Transfer Capacity of Poplar with Pectinase Treated under the Solar Interface Evaporation

    Wei Xiong1,2, Dagang Li1,*, Peixing Wei2, Lin Wang2, Qian Feng1

    Journal of Renewable Materials, Vol.11, No.5, pp. 2265-2278, 2023, DOI:10.32604/jrm.2023.025483

    Abstract Poplar wood, which was used as the absorption material for the solar-driven interfacial evaporation, was treated for 3 days, 6 days and 9 days with the pectinase, and then was simulated for photothermal evaporation test at one standard solar radiation intensity (1 kW⋅m−2). The effects of pectinase treatment on cell passage and water migration capacity of poplars were analyzed by the mercury intrusion porosimetry, the scanning electron microscope and fractal theory. It was found that the pit membrane and the ray parenchyma cells of poplar wood were degraded and destroyed after pectinase treatment. Compared with the untreated poplar wood, the evaporation… More >

  • Open Access

    ARTICLE

    A Method for Classification and Evaluation of Pilot’s Mental States Based on CNN

    Qianlei Wang1,2,3,*, Zaijun Wang3, Renhe Xiong4, Xingbin Liao1,2, Xiaojun Tan5

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1999-2020, 2023, DOI:10.32604/csse.2023.034183

    Abstract How to accurately recognize the mental state of pilots is a focus in civil aviation safety. The mental state of pilots is closely related to their cognitive ability in piloting. Whether the cognitive ability meets the standard is related to flight safety. However, the pilot's working state is unique, which increases the difficulty of analyzing the pilot's mental state. In this work, we proposed a Convolutional Neural Network (CNN) that merges attention to classify the mental state of pilots through electroencephalography (EEG). Considering the individual differences in EEG, semi-supervised learning based on improved K-Means is used in the model training… More >

  • Open Access

    ARTICLE

    Performance Evaluation of Virtualization Methodologies to Facilitate NFV Deployment

    Sumbal Zahoor1, Ishtiaq Ahmad1, Ateeq Ur Rehman2, Elsayed Tag Eldin3, Nivin A. Ghamry4, Muhammad Shafiq5,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 311-329, 2023, DOI:10.32604/cmc.2023.035960

    Abstract The development of the Next-Generation Wireless Network (NGWN) is becoming a reality. To conduct specialized processes more, rapid network deployment has become essential. Methodologies like Network Function Virtualization (NFV), Software-Defined Networks (SDN), and cloud computing will be crucial in addressing various challenges that 5G networks will face, particularly adaptability, scalability, and reliability. The motivation behind this work is to confirm the function of virtualization and the capabilities offered by various virtualization platforms, including hypervisors, clouds, and containers, which will serve as a guide to dealing with the stimulating environment of 5G. This is particularly crucial when implementing network operations at… More >

  • Open Access

    ARTICLE

    MCMOD: The Multi-Category Large-Scale Dataset for Maritime Object Detection

    Zihao Sun1,*, Xiao Hu2, Yining Qi2, Yongfeng Huang2, Songbin Li3

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1657-1669, 2023, DOI:10.32604/cmc.2023.036558

    Abstract The marine environment is becoming increasingly complex due to the various marine vehicles, and the diversity of maritime objects poses a challenge to marine environmental governance. Maritime object detection technology plays an important role in this segment. In the field of computer vision, there is no sufficiently comprehensive public dataset for maritime objects in the contrast to the automotive application domain. The existing maritime datasets either have no bounding boxes (which are made for object classification) or cover limited varieties of maritime objects. To fulfil the vacancy, this paper proposed the Multi-Category Large-Scale Dataset for Maritime Object Detection (MCMOD) which… More >

  • Open Access

    ARTICLE

    Experimental Evaluation of Trilateration-Based Outdoor Localization with LoRaWAN

    Saeed Ahmed Magsi1,2,*, Mohd Haris Bin Md Khir1, Illani Bt Mohd Nawi1, Muath Al Hasan3, Zaka Ullah3, Fasih Ullah Khan4, Abdul Saboor5, Muhammad Aadil Siddiqui1,2

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 845-862, 2023, DOI:10.32604/cmc.2023.033636

    Abstract Long Range Wide Area Network (LoRaWAN) in the Internet of Things (IoT) domain has been the subject of interest for researchers. There is an increasing demand to localize these IoT devices using LoRaWAN due to the quickly growing number of IoT devices. LoRaWAN is well suited to support localization applications in IoTs due to its low power consumption and long range. Multiple approaches have been proposed to solve the localization problem using LoRaWAN. The Expected Signal Power (ESP) based trilateration algorithm has the significant potential for localization because ESP can identify the signal’s energy below the noise floor with no… More >

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