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  • Open Access

    ARTICLE

    Lineament Mapping in Batie Area (West-Cameroon) Using Landsat-9 Operational Land Imager/Thermal Infrared Sensor and Shuttle Radar Topography Mission Data: Hydrogeological Implication

    Jean Aime Mono1,2,*, Apollinaire Bouba3, Jean Daniel Ngoh4, Olivier Ulrich Igor Owono Amougou5, Françoise Martine Enyegue A Nyam6, Théophile Ndougsa Mbarga7

    Revue Internationale de Géomatique, Vol.33, pp. 135-154, 2024, DOI:10.32604/rig.2024.049966

    Abstract This study focuses on the mapping of lineaments using remote sensing techniques and Geographic Information Systems. The aim is to carry out a statistical analysis of the lineaments in order to better understand the organization of fracturing in the Batie district, and to identify areas of high fracturing density and their relationship with the hydrographic network. The methodology implemented to achieve these objectives is based on the processing and analysis of Landsat 9 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) satellite imagery and Shuttle Radar Topography Mission (SRTM) data covering the study area. After essential pre-processing of data, the following processing… More >

  • Open Access

    ARTICLE

    Infrared and Visible Image Fusion Based on Res2Net-Transformer Automatic Encoding and Decoding

    Chunming Wu1, Wukai Liu2,*, Xin Ma3

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1441-1461, 2024, DOI:10.32604/cmc.2024.048136

    Abstract A novel image fusion network framework with an autonomous encoder and decoder is suggested to increase the visual impression of fused images by improving the quality of infrared and visible light picture fusion. The network comprises an encoder module, fusion layer, decoder module, and edge improvement module. The encoder module utilizes an enhanced Inception module for shallow feature extraction, then combines Res2Net and Transformer to achieve deep-level co-extraction of local and global features from the original picture. An edge enhancement module (EEM) is created to extract significant edge features. A modal maximum difference fusion strategy is introduced to enhance the… More >

  • Open Access

    ARTICLE

    Synthesis and Characterization of Pyridine-containing Epoxy: H-bonds Distribution and Thermomechanical Performances

    ZHAO JUNa, LIU AIQINa, ZHOU HONGa, LUO JUNb,*, AND LIU YUANb,*

    Journal of Polymer Materials, Vol.37, No.1-2, pp. 29-42, 2020, DOI:10.32381/JPM.2020.37.1-2.3

    Abstract Heteroatoms (N, O, and F) and hydrogen groups are important elements for forming the H-bonds. It is well known that a large number of hydrogen groups are formed after curing reaction of epoxy. However, literatures about epoxy resins containing heteroaromatic ring and the H-bonds after cure reaction of the epoxy resins are seldom published. To bridge the gap, a kind of new epoxy monomer containing pyridine ring (EMP) has been synthesized in this work, andit is further cured by 4,4-diaminodiphenyl methane (DDM). The properties of cured EMP/ DDM are evaluated by DSC, DMA, and static contact angle measurement. Moreover, the… More >

  • Open Access

    ARTICLE

    IR-YOLO: Real-Time Infrared Vehicle and Pedestrian Detection

    Xiao Luo1,3, Hao Zhu1,2,*, Zhenli Zhang1,2

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2667-2687, 2024, DOI:10.32604/cmc.2024.047988

    Abstract Road traffic safety can decrease when drivers drive in a low-visibility environment. The application of visual perception technology to detect vehicles and pedestrians in infrared images proves to be an effective means of reducing the risk of accidents. To tackle the challenges posed by the low recognition accuracy and the substantial computational burden associated with current infrared pedestrian-vehicle detection methods, an infrared pedestrian-vehicle detection method A proposal is presented, based on an enhanced version of You Only Look Once version 5 (YOLOv5). First, A head specifically designed for detecting small targets has been integrated into the model to make full… More >

  • Open Access

    ARTICLE

    Dynamic Changes in Left and Right Cerebral Oxygen Saturation during Selective Cerebral Perfusion in Young Infants

    Hwa-Young Jang1, Sang-Jun Beon2, Sung-Hoon Kim1, In-Kyung Song1, Won-Jung Shin1,*

    Congenital Heart Disease, Vol.18, No.6, pp. 639-647, 2023, DOI:10.32604/chd.2023.030065

    Abstract Objectives: We investigated whether the selective cerebral perfusion (SCP) technique causes differences in changes in cerebral perfusion between both hemispheres in young infants, using cerebral oxygen saturation (ScO2) as an index. Further, we determined the association between the discrepancy in ScO2 and cerebral perfusion pressure during SCP. Methods: The difference in ScO2 between the left and right cerebral hemispheres (ΔScO2 Rt-Lt) was calculated during clamping of the innominate artery (IA) and during SCP. Results: In 25 infants (aged 2 to 78 days), the left and right ScO2 were well maintained (median 63.2% and 60.9% during IA clamping, respectively; 64.0% and… More > Graphic Abstract

    Dynamic Changes in Left and Right Cerebral Oxygen Saturation during Selective Cerebral Perfusion in Young Infants

  • Open Access

    PROCEEDINGS

    Thermodynamic Investigation with Synergetic Method on Inner Crack Growth Behavior at very High Cycle Fatigue Regime

    Yujia Liu1,2, Bo Xu1, Sen Tang3, Lang Li1, Chao He1, Qingyuan Wang1,2,3, Chong Wang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.010057

    Abstract This paper presents a thermodynamic characterization method for estimating the internal crack growth rate, which has been a puzzle in very high cycle fatigue research. A theoretical approach of surface temperature is established with crack size, initiation site, and time for thin sheet material. Infrared thermography is used to study the inner crack behavior and the heat dissipation phenomenon under 20 kHz vibration loading on high-strength stainless steel. A numerical simulation reveals the consequent temperature elevation on the surfaces by the heat generation at the crack tip and the heat conduction. Ultimately, the internal crack growth rate and final fatigue… More >

  • Open Access

    ARTICLE

    Infrared Small Target Detection Algorithm Based on ISTD-CenterNet

    Ning Li*, Shucai Huang, Daozhi Wei

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3511-3531, 2023, DOI:10.32604/cmc.2023.045987

    Abstract This paper proposes a real-time detection method to improve the Infrared small target detection CenterNet (ISTD-CenterNet) network for detecting small infrared targets in complex environments. The method eliminates the need for an anchor frame, addressing the issues of low accuracy and slow speed. HRNet is used as the framework for feature extraction, and an ECBAM attention module is added to each stage branch for intelligent identification of the positions of small targets and significant objects. A scale enhancement module is also added to obtain a high-level semantic representation and fine-resolution prediction map for the entire infrared image. Besides, an improved… More >

  • Open Access

    ARTICLE

    Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network for Visible-Infrared Person Re-Identification

    Zheng Shi, Wanru Song*, Junhao Shan, Feng Liu

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3467-3488, 2023, DOI:10.32604/cmc.2023.045849

    Abstract Visible-infrared Cross-modality Person Re-identification (VI-ReID) is a critical technology in smart public facilities such as cities, campuses and libraries. It aims to match pedestrians in visible light and infrared images for video surveillance, which poses a challenge in exploring cross-modal shared information accurately and efficiently. Therefore, multi-granularity feature learning methods have been applied in VI-ReID to extract potential multi-granularity semantic information related to pedestrian body structure attributes. However, existing research mainly uses traditional dual-stream fusion networks and overlooks the core of cross-modal learning networks, the fusion module. This paper introduces a novel network called the Augmented Deep Multi-Granularity Pose-Aware Feature… More >

  • Open Access

    ARTICLE

    EXPERIMENTAL STUDY ON WATER CURTAIN FIGHTING FIRE BASED ON INFRARED TECHNIQUE

    Hui Zhong, Guohua Chen* , Saihua Jiang

    Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-5, 2017, DOI:10.5098/hmt.8.17

    Abstract Infrared radiation is a type of electromagnetic radiation and invisible to human eyes. It is used widely in industrial, scientific, and medical applications. Pool fire is an emergent accident, which emits intense thermal radiation. In order to quantify the performance of water curtain fighting fire, a testing platform is built and experimental studies are carried out. An infrared imager is used to acquire real-time experimental data and respond to the variations of flame in time and space dimensions. Experimental principles and operating procedures are described in detail. The transmissivity is used to quantify the performance of water curtain fighting fire.… More >

  • Open Access

    ARTICLE

    Pure Detail Feature Extraction Network for Visible-Infrared Re-Identification

    Jiaao Cui1, Sixian Chan1,2,*, Pan Mu1, Tinglong Tang2, Xiaolong Zhou3

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2263-2277, 2023, DOI:10.32604/iasc.2023.039894

    Abstract Cross-modality pedestrian re-identification has important applications in the field of surveillance. Due to variations in posture, camera perspective, and camera modality, some salient pedestrian features are difficult to provide effective retrieval cues. Therefore, it becomes a challenge to design an effective strategy to extract more discriminative pedestrian detail. Although many effective methods for detailed feature extraction are proposed, there are still some shortcomings in filtering background and modality noise. To further purify the features, a pure detail feature extraction network (PDFENet) is proposed for VI-ReID. PDFENet includes three modules, adaptive detail mask generation module (ADMG), inter-detail interaction module (IDI) and… More >

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