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  • Open Access

    ARTICLE

    A New Method for Image Tamper Detection Based on an Improved U-Net

    Jie Zhang, Jianxun Zhang*, Bowen Li, Jie Cao, Yifan Guo

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2883-2895, 2023, DOI:10.32604/iasc.2023.039805

    Abstract With the improvement of image editing technology, the threshold of image tampering technology decreases, which leads to a decrease in the authenticity of image content. This has also driven research on image forgery detection techniques. In this paper, a U-Net with multiple sensory field feature extraction (MSCU-Net) for image forgery detection is proposed. The proposed MSCU-Net is an end-to-end image essential attribute segmentation network that can perform image forgery detection without any pre-processing or post-processing. MSCU-Net replaces the single-scale convolution module in the original network with an improved multiple perceptual field convolution module so that the decoder can synthesize the… More >

  • Open Access

    ARTICLE

    Point Cloud Based Semantic Segmentation Method for Unmanned Shuttle Bus

    Sidong Wu, Cuiping Duan, Bufan Ren, Liuquan Ren, Tao Jiang, Jianying Yuan*, Jiajia Liu, Dequan Guo

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2707-2726, 2023, DOI:10.32604/iasc.2023.038948

    Abstract The complexity of application scenarios and the enormous volume of point cloud data make it difficult to quickly and effectively segment the scenario only based on the point cloud. In this paper, to address the semantic segmentation for safety driving of unmanned shuttle buses, an accurate and effective point cloud-based semantic segmentation method is proposed for specified scenarios (such as campus). Firstly, we analyze the characteristic of the shuttle bus scenarios and propose to use ROI selection to reduce the total points in computation, and then propose an improved semantic segmentation model based on Cylinder3D, which improves mean Intersection over… More >

  • Open Access

    PROCEEDINGS

    Self-Driven Droplet on the Bilayer Two-Dimensional Materials and Nanoscale Channel with Controllable Gradient Wettability

    Hongfei Ye1,*, Chenguang Yin1, Jian Wang1, Yonggang Zheng1, Hongwu Zhang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09741

    Abstract The wetting behavior is ubiquitous in natural phenomenon as well as engineering application. As an intrinsic property of solid surface, the wettability with a controllable gradient has been an attractive issue with a wide application in various fields, including microfluidic devices, self-driven transport, biotechnologies, etc. Generally, it often requires elaborate design of microstructure or its response under the electrical, thermal, optical, pH stimuli, etc. However, the relevant complex underlying mechanism makes it difficult to construct quantitative relations between the wettability and the external field for the fine design. In this work, based on the bilayer two-dimensional materials, a simple controlling… More >

  • Open Access

    PROCEEDINGS

    Gas Transport Through Nanochannels: Surface Effect and Molecular Geometry Effect

    JianHao Qian1, HengAn Wu1, FengChao Wang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09144

    Abstract Gas transport through nanochannels is ubiquitous in nature and also plays an important role in industry. The gas flow in this regime can be described by the Knudsen theory, which assumes that molecules diffusely reflect on the confining walls [1]. However, with the emergence of low dimensional carbon-based materials such as graphene and carbon nanotubes, it has been evidenced that this assumption might not hold for some atomically smooth surfaces, resulting in an anomalous enhancement of gas flux [2]. Moreover, in Knudsen theory, gas molecules are usually treated as mass points and distinguished solely by molecular weight, which cannot interpret… More >

  • Open Access

    ARTICLE

    Research on Optimization of Dual-Resource Batch Scheduling in Flexible Job Shop

    Qinhui Liu, Zhijie Gao, Jiang Li*, Shuo Li, Laizheng Zhu

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2503-2530, 2023, DOI:10.32604/cmc.2023.040505

    Abstract With the rapid development of intelligent manufacturing and the changes in market demand, the current manufacturing industry presents the characteristics of multi-varieties, small batches, customization, and a short production cycle, with the whole production process having certain flexibility. In this paper, a mathematical model is established with the minimum production cycle as the optimization objective for the dual-resource batch scheduling of the flexible job shop, and an improved nested optimization algorithm is designed to solve the problem. The outer layer batch optimization problem is solved by the improved simulated annealing algorithm. The inner double resource scheduling problem is solved by… More >

  • Open Access

    ARTICLE

    Enhancement of UAV Data Security and Privacy via Ethereum Blockchain Technology

    Sur Singh Rawat1,*, Youseef Alotaibi2, Nitima Malsa1, Vimal Gupta1

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1797-1815, 2023, DOI:10.32604/cmc.2023.039381

    Abstract Unmanned aerial vehicles (UAVs), or drones, have revolutionized a wide range of industries, including monitoring, agriculture, surveillance, and supply chain. However, their widespread use also poses significant challenges, such as public safety, privacy, and cybersecurity. Cyberattacks, targeting UAVs have become more frequent, which highlights the need for robust security solutions. Blockchain technology, the foundation of cryptocurrencies has the potential to address these challenges. This study suggests a platform that utilizes blockchain technology to manage drone operations securely and confidentially. By incorporating blockchain technology, the proposed method aims to increase the security and privacy of drone data. The suggested platform stores… More >

  • Open Access

    ARTICLE

    Intermediary RRT*-PSO: A Multi-Directional Hybrid Fast Convergence Sampling-Based Path Planning Algorithm

    Loc Q. Huynh1, Ly V. Tran1, Phuc N. K. Phan1, Zhiqiu Yu2, Son V. T. Dao1,2,*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2281-2300, 2023, DOI:10.32604/cmc.2023.034872

    Abstract Path planning is a prevalent process that helps mobile robots find the most efficient pathway from the starting position to the goal position to avoid collisions with obstacles. In this paper, we propose a novel path planning algorithm–Intermediary RRT*-PSO-by utilizing the exploring speed advantages of Rapidly exploring Random Trees and using its solution to feed to a metaheuristic-based optimizer, Particle swarm optimization (PSO), for fine-tuning and enhancement. In Phase 1, the start and goal trees are initialized at the starting and goal positions, respectively, and the intermediary tree is initialized at a random unexplored region of the search space. The… More >

  • Open Access

    PROCEEDINGS

    Numerical Simulation of Flow Boiling of HFE-7100 in Horizontal Rectangular Single Microchannel

    Zihuan Ma1, Xiang Ma1, Chengyu Hu1, Jinjia Wei1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08963

    Abstract Flow boiling in microchannel heat sinks is considered as a promising cooling solution for electronic components. Higher heat flux can be effectively dissipated by the utilization of the latent heat of vaporization. However, most of the current studies on flow boiling in microchannels are mainly experimental investigations and two-dimensional numerical studies. In this paper, the Volume of Fluid (VOF) model combined with the Lee evaporation-condensation phase change model is used to simulate the flow boiling of HFE7100 in horizontal microchannels by three-dimensional conjugate numerical simulation. The numerical simulation results are compared with the experimental results [1], showing an excellent agreement.… More >

  • Open Access

    ARTICLE

    Anti-proliferative effect of Annona extracts on breast cancer cells

    MARIA-LUISA VEISAGA1,2, MARIAM AHUMADA2, STACY SORIANO2, LEONARDO ACUNA3, WEI ZHANG3, IVY LEUNG2, ROBERT BARNUM2, MANUEL A. BARBIERI1,2,3,4,5,*

    BIOCELL, Vol.47, No.8, pp. 1835-1852, 2023, DOI:10.32604/biocell.2023.029076

    Abstract Backgorund: Fruits and seed extracts of Annona montana have significant cytotoxic potential in several cancer cells. This study evaluates the effect of A. montana leaves hexane extract on several signaling cascades and gene expression in metastatic breast cancer cells upon insulin-like growth factor-1 (IGF-1) stimulation. Methods: MTT assay was performed to determine the proliferation of cancer cells. Propidium iodide staining and flow cytometry analysis of Annexin V binding was utilized to measure the progression of the cell cycle and the induction of apoptosis. Protein expression and phosphorylation were determined by western blotting analysis to examine the underlying cellular mechanism triggered… More >

  • Open Access

    ABSTRACT

    Abstracts from XXIV Annual Meeting of the Argentinean Society of Biology (SAB)

    BIOCELL, Vol.47, Suppl.3, pp. 1-38, 2023, DOI:10.32604/biocell.2023.s0124

    Abstract This article has no abstract. More >

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