Inna Bilous¹, Dmytro Biriukov¹, Dmytro Karpenko², Tatiana Eutukhova², Oleksandr Novoseltsev^2,*, Volodymyr Voloshchuk¹

Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract

Mohana Priya Govindarajan^*, Sangeetha Subramaniam Karuppaiya Bharathi

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2967-2986, 2024, DOI:10.32604/cmc.2024.055536 - 18 November 2024

Abstract In the present research, we describe a computer-aided detection (CAD) method aimed at automatic fetal head circumference (HC) measurement in 2D ultrasonography pictures during all trimesters of pregnancy. The HC might be utilized toward determining gestational age and tracking fetal development. This automated approach is particularly valuable in low-resource settings where access to trained sonographers is limited. The CAD system is divided into two steps: to begin, Haar-like characteristics were extracted from ultrasound pictures in order to train a classifier using random forests to find the fetal skull. We identified the HC using dynamic programming,… More >

YUQIN YIN^1,2,#, YU WU^1,#, HONGLIANG HUANG^1,2, YINGYING DUAN^1,2, ZHONGWEN YUAN^1,2, LIHUI CAO^1,2, JINJIN YING^1,2, YONGHENG ZHOU^3,*, SENLING FENG^1,2,*

Oncology Research, Vol.32, No.12, pp. 1891-1902, 2024, DOI:10.32604/or.2024.048778 - 13 November 2024

Abstract Background: Polymethoxylated flavones (PMFs) are compounds present in citrus peels and other Rutaceae plants, which exhibit diverse biological activities, including robust antitumor and antioxidant effects. However, the mechanism of PMFs in reversing drug resistance to colon cancer remains unknown. In the present study, we aimed to investigate the potential connection between the aerobic glycolysis-ROS-autophagy signaling axis and the reversal of PTX resistance in colon cancer by PMFs. Methods: MTT Cell viability assay and colony formation assay were used to investigate the effect of PMFs combined with PTX in reversing HCT8/T cell resistance ex vivo; the mRNA… More > Graphic Abstract

Jiachang Liu^1,*, Zhengwei Huang², Junfeng Xiang¹, Lu Liu¹, Manlin Hu¹

Energy Engineering, Vol.121, No.11, pp. 3461-3486, 2024, DOI:10.32604/ee.2024.054514 - 21 October 2024

Abstract To enhance the refinement of load decomposition in power systems and fully leverage seasonal change information to further improve prediction performance, this paper proposes a seasonal short-term load combination prediction model based on modal decomposition and a feature-fusion multi-algorithm hybrid neural network model. Specifically, the characteristics of load components are analyzed for different seasons, and the corresponding models are established. First, the improved complete ensemble empirical modal decomposition with adaptive noise (ICEEMDAN) method is employed to decompose the system load for all four seasons, and the new sequence is obtained through reconstruction based on the… More >

Zerong Tang, Tiecheng Song^*, Jing Hu

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1835-1854, 2024, DOI:10.32604/cmc.2024.056983 - 15 October 2024

Abstract The Internet of Vehicles (IoV) will carry a large amount of security and privacy-related data, which makes the secure communication between the IoV terminals increasingly critical. This paper studies the joint beamforming for physical-layer security transmission in the coexistence of Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication with Reconfigurable Intelligent Surface (RIS) assistance, taking into account hardware impairments. A communication model for physical-layer security transmission is established when the eavesdropping user is present and the base station antenna has hardware impairments assisted by RIS. Based on this model, we propose to maximize the V2I physical-layer security… More >

Tao Zheng¹, Wenyi Tang^1,2,4,*, Xingshu Chen^1,3,4, Changxiang Shen^1,3,4

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1687-1701, 2024, DOI:10.32604/cmc.2024.056141 - 15 October 2024

Abstract The security performance of cloud services is a key factor influencing users’ selection of Cloud Service Providers (CSPs). Continuous monitoring of the security status of cloud services is critical. However, existing research lacks a practical framework for such ongoing monitoring. To address this gap, this paper proposes the first Non-Collaborative Container-Based Cloud Service Operation State Continuous Monitoring Framework (NCCMF), based on relevant standards. NCCMF operates without the CSP’s collaboration by: 1) establishing a scalable supervisory index system through the identification of security responsibilities for each role, and 2) designing a Continuous Metrics Supervision Protocol (CMA) More >

Shuai Cao^1,3, Jianan Liang^1,2,*, Yongjun Cao^1,2,3,4, Jinglun Huang^1,4, Zhishu Yang^1,4

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1491-1509, 2024, DOI:10.32604/cmc.2024.049314 - 15 October 2024

Abstract The employment of deep convolutional neural networks has recently contributed to significant progress in single image super-resolution (SISR) research. However, the high computational demands of most SR techniques hinder their applicability to edge devices, despite their satisfactory reconstruction performance. These methods commonly use standard convolutions, which increase the convolutional operation cost of the model. In this paper, a lightweight Partial Separation and Multiscale Fusion Network (PSMFNet) is proposed to alleviate this problem. Specifically, this paper introduces partial convolution (PConv), which reduces the redundant convolution operations throughout the model by separating some of the features of… More >

R. Mahaveerakannan¹, Thanarajan Tamilvizhi^2,*, Sonia Jenifer Rayen³, Osamah Ibrahim Khalaf⁴, Habib Hamam^5,6,7,8

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3945-3966, 2024, DOI:10.32604/cmc.2024.051611 - 12 September 2024

Abstract The demands on conventional communication networks are increasing rapidly because of the exponential expansion of connected multimedia content. In light of the data-centric aspect of contemporary communication, the information-centric network (ICN) paradigm offers hope for a solution by emphasizing content retrieval by name instead of location. If 5G networks are to meet the expected data demand surge from expanded connectivity and Internet of Things (IoT) devices, then effective caching solutions will be required to maximize network throughput and minimize the use of resources. Hence, an ICN-based Cooperative Caching (ICN-CoC) technique has been used to select… More >

Shengqiang Shi^1,2,*, Abdelatif Merabtine³, Rachid Bennacer⁴, Julien Kauffmann²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1703-1716, 2024, DOI:10.32604/fdmp.2024.050547 - 06 August 2024

Abstract At present, air handling units are usually used indoors to improve the indoor environment quality. However, while introducing fresh air to improve air quality, air velocity has a certain impact on the occupants’ thermal comfort. Therefore, it is necessary to explore the optimization of air-fluid-body interaction dynamics. In this study, the indoor air flow was changed by changing the opening and closing degree of the blower, and the thermal manikin is introduced to objectively evaluate the human thermal comfort under different air velocities. The main experimental results show that the air change rate increases with… More >

Liqiong Chen¹, Kui Zhao¹, Kai Zhang^1,*, Duo Xv¹, Hongxvan Hu², Guoguang Ma¹, Wenwen Zhan³

Energy Engineering, Vol.121, No.8, pp. 2143-2165, 2024, DOI:10.32604/ee.2024.049362 - 19 July 2024

Abstract The leakage gas from a buried natural gas pipelines has the great potential to cause economic losses and environmental pollution owing to the complexity of the mountainous environment. In this study, computational fluid dynamics (CFD) method was applied to investigate the diffusion law and hazard range of buried natural gas pipeline leakage in mountainous environment. Based on cloud chart, concentration at the monitoring site and hazard range of lower explosion limit (LEL) and upper explosion limit (UEL), the influences of leakage hole direction and shape, soil property, burial depth, obstacle type on the diffusion law… More >