Yanlei Xu, Xue Cong, Yuting Zhai, Zhiyuan Gao, Helong Yu^*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3019-3037, 2023, DOI:10.32604/iasc.2023.040330

Abstract To solve inefficient water stress classification of spinach seedlings under complex background, this study proposed an automatic classification method for the water stress level of spinach seedlings based on the N-MobileNetXt (NCAM+MobileNetXt) network. Firstly, this study reconstructed the Sandglass Block to effectively increase the model accuracy; secondly, this study introduced the group convolution module and a two-dimensional adaptive average pool, which can significantly compress the model parameters and enhance the model robustness separately; finally, this study innovatively proposed the Normalization-based Channel Attention Module (NCAM) to enhance the image features obviously. The experimental results showed that the classification accuracy of N-MobileNetXt… More >

Fei Wang^1,2, Li Li¹, Yinxing Wan¹, Zhuorong Li¹, Lixian Luo³, Bangshun Hu¹, Jiahui Pan^1,2, Zhenfu Wen⁴, Haiyun Huang^1,2,*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2301-2316, 2023, DOI:10.32604/cmc.2023.037727

Abstract Sleep spindles are an electroencephalogram (EEG) biomarker of non-rapid eye movement (NREM) sleep and have important implications for clinical diagnosis and prognosis. However, it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms. To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation, this study proposes a new automatic detection algorithm based on Matching Pursuit (MP) and Least Squares Boosting (LSBoost), where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians. Specifically,… More >

Loc Q. Huynh¹, Ly V. Tran¹, Phuc N. K. Phan¹, Zhiqiu Yu², Son V. T. Dao^1,2,*

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 >

Jin Han¹, Qi Zhang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09848

Abstract In this paper, we extend the Reissner-Mindlin shell theory based on peridynamics method proposed in [1] to the stiffened plate and explore its application to engineering problems, several examples are given to verify its effectiveness in the dynamic analysis. The coupling method is used in this paper to model the stiffened plate. The plate and the stiffener are treated as two independent shell to calculate the velocity and acceleration respectively, then the interaction between two parts of the stiffened plate is added at the coupling particle to satisfy the continuity condition. The non-local peridynamics theory of solids provides an integral… More >

Pengcheng Nie^1,2, Xikai Jiang¹, Xu Zheng¹, Dongshi Guan^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09838

Abstract “How can we measure interface phenomena on the microscopic level” is a fundamental question that has been with us for many years and is also listed in recent Science 125 question. It is even harder to explore the electrified interface. In this work, we report atomic-force-microscope measurements of interfacial dynamics of an electrified room-temperature ionic liquid (RTIL)-solid interface. RTILs are intriguing fluids that have drawn much attention in applications ranging from tribology and catalysis to energy storage. With strong electrostatic interaction between ions, their interfacial behaviors can be modulated by controlling energetics of the electrified interface. Using a unique long-needle… More >

Lei Yu¹, Hongjun Wang^1,*, Yubin Yue¹, Shucong Liu¹, Xiangxiang Mao², Fengshou Gu³

Structural Durability & Health Monitoring, Vol.17, No.4, pp. 315-336, 2023, DOI:10.32604/sdhm.2022.024899

Abstract In recent years, high-end equipment is widely used in industry and the accuracy requirements of the equipment have been risen year by year. During the machining process, the high-end equipment failure may have a great impact on the product quality. It is necessary to monitor the status of equipment and to predict fault diagnosis. At present, most of the condition monitoring devices for mechanical equipment have problems of large size, low precision and low energy utilization. A wireless self-powered intelligent spindle vibration acceleration sensor system based on piezoelectric energy harvesting is proposed. Based on rotor sensing technology, a sensor is… More >

Chen Su, Jie Hong, Jiang Wang, Yang Yang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2611-2632, 2023, DOI:10.32604/phyton.2023.029457

Abstract The statistics of the number of rapeseed seedlings are very important for breeders and planters to conduct seed quality testing, field crop management and yield estimation. Calculating the number of seedlings is inefficient and cumbersome in the traditional method. In this study, a method was proposed for efficient detection and calculation of rapeseed seedling number based on improved you only look once version 5 (YOLOv5) to identify objects and deep-sort to perform object tracking for rapeseed seedling video. Coordinated attention (CA) mechanism was added to the trunk of the improved YOLOv5s, which made the model more effective in identifying shaded,… More >

Sibel Day^*, Nilüfer Koçak-Şahin

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2461-2471, 2023, DOI:10.32604/phyton.2023.029920

Abstract Aromatic and medicinal plant species having small seeds have field emergence problems due to low nutrient supply. Therefore, Pimpinella anisum seeds were hydro and osmoprimed with 100 mM MgCl₂, CaCl₂, and ZnCl₂, for 2, 4, and 8 h each to compare their growth attributes during germination and seedling establishment stages. Nontreated seeds were used as control. Both hydro and osmo primed seeds were dried for 48 h before, they were sown in plastic trays in growth room conditions to see the impact of treatments on seedling emergence and growth. The maximum root length (12.90 cm), fresh weight (256.30 mg plant⁻¹),… More >

Chongpei Zheng¹, Liangliang Li², Zhencheng Han², Weijie Li^2,*, Xiaopeng Wen^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2399-2412, 2023, DOI:10.32604/phyton.2023.029891

Abstract

To explore how manganese affects the antioxidant system and the expression levels of related genes of “Hong yang” seedlings, the leaves of its tissue cultured seedlings were taken as test materials, and single factor treatment was performed by changing the manganese chloride (MnCl₂^.4H₂O) solution concentration when spraying the leaves. The expression levels of Mn-SOD, POD64 and POD27 genes in leaves were quantitatively analyzed by real-time quantitative PCR (qRT-PCR) at different determination times. Meanwhile, the contents of malondialdehyde (MDA), hydrogen peroxide (H₂O₂), the activities of antioxidant enzymes, including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD). The results showed… More >

Sultan Mesfer Aldossary^*

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2199-2212, 2023, DOI:10.32604/iasc.2023.038243

Abstract The challenge of encrypting sensitive information of a medical image in a healthcare system is still one that requires a high level of computing complexity, despite the ongoing development of cryptography. After looking through the previous research, it has become clear that the security issues still need to be looked into further because there is room for expansion in the research field. Recently, neural networks have emerged as a cost-effective and effective optimization strategy in terms of providing security for images. This revelation came about as a result of current developments. Nevertheless, such an implementation is a technique that is… More >