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  • Open Access

    ARTICLE

    A New Approach for Structural Optimization with Application to Wind Turbine Tower

    Fugang Dong, Yuqiao Zheng*, Hao Li, Zhengwen He

    Energy Engineering, Vol.119, No.3, pp. 1017-1029, 2022, DOI:10.32604/ee.2022.020430

    Abstract This work takes the bionic bamboo tower (BBT) of 2 MW wind turbine as the target, and the non-dominated sorting genetic algorithm (NSGA-II) is utilized to optimize its structural parameters. Specifically, the objective functions are deformation and mass. Based on the correlation analysis, the target optimization parameters were determined. Furthermore, the Kriging model of the BBT was established through the Latin Hypercube Sampling Design (LHSD). Finally, the BBT structure is optimized with multiple objectives under the constraints of strength, natural frequency, and size. The comparison shows that the optimized BBT has an advantage in the Design Load Case (DLC). This… More >

  • Open Access

    ARTICLE

    Effects of Different Irrigation Management on the Textural Properties of Double-Cropping Late Indica Rice in South China

    Ruoyu Xiong1, Liming Chen1, Daren Jiang1, Yingjie Zhou1, Xueming Tan1, Xiaohua Pan1, Yongjun Zeng1, Jun Zhang2, Yanhua Zeng1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1495-1502, 2022, DOI:10.32604/phyton.2022.018485

    Abstract In order to investigate the effects of different irrigation management on the textural properties of two different double-cropping late Indica rice, the effects of three irrigation management including conventional irrigation (CK), constant irrigation (CI) and alternate wetting and drying (AWD) on textural properties has been researched under field conditions of two years. The results indicated that the firmness, cohesiveness and chewiness were decreased under AWD treatment, and the stickiness was increased compared with CK, while the textural properties under CI treatment showed the opposite trend with AWD treatment. Additionally, AWD treatment signifi- cantly improved the springiness of TY871 compared with… More >

  • Open Access

    ARTICLE

    Correlation Analysis of Energy Consumption of Agricultural Rotorcraft

    Lihua Zhu1,*, Zhijian Xu1, Yu Wang1, Cheire Cheng2

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3179-3192, 2022, DOI:10.32604/cmc.2022.023293

    Abstract With the rapid development of unmanned aerial vehicle technology, unmanned aerial vehicles (UAVs) have been widely used in the field of agricultural plant protection. Compared with fuel-driven UAVs, electrically driven rotorcrafts have many advantages such as lower cost, simpler operation, good maneuverability and cleaner power, which them popular in the plant protection. However, electrical rotorcrafts still face battery problems in actual operation, which limits its working time and application. Aiming at this issue, this paper studied the influence of rotorcraft flight parameters on energy consumption through series of carefully designed flight experiments. First of all, the linear motion experiments have… More >

  • Open Access

    ARTICLE

    Inferential Statistics and Machine Learning Models for Short-Term Wind Power Forecasting

    Ming Zhang, Hongbo Li, Xing Deng*

    Energy Engineering, Vol.119, No.1, pp. 237-252, 2022, DOI:10.32604/EE.2022.017916

    Abstract The inherent randomness, intermittence and volatility of wind power generation compromise the quality of the wind power system, resulting in uncertainty in the system's optimal scheduling. As a result, it's critical to improve power quality and assure real-time power grid scheduling and grid-connected wind farm operation. Inferred statistics are utilized in this research to infer general features based on the selected information, confirming that there are differences between two forecasting categories: Forecast Category 1 (0–11 h ahead) and Forecast Category 2 (12–23 h ahead). In z-tests, the null hypothesis provides the corresponding quantitative findings. To verify the final performance of… More >

  • Open Access

    ARTICLE

    Correlation Analysis between Economic Growth and Environmental Quality

    Baiqing Zhou1, Na Li1,*, Duan Lu1, Jinyue Xia2

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 127-140, 2022, DOI:10.32604/csse.2022.017750

    Abstract With the rapid development of the economy, China’s environment has been damaged severely, which has attracted much attention from scholars and the local government. The concept of green development has been an underlying trend since 2012, and it is of great significance to explore the relationship between economic growth and environmental quality. Huzhou is a prefecture-level city under the jurisdiction of Zhejiang Province, and it is one of the 27 cities in the central area of the Yangtze River Delta. In recent years, this city develops well not only in economic development but also in maintaining a green environment. In… More >

  • Open Access

    ARTICLE

    Correlation Analysis of New Soybean [Glycine max (L.) Merr] Gene Gm15G117700 with Oleic Acid

    Shuo Qu1, Yaolei Jiao2, Lamboro Abraham2, Piwu Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1177-1192, 2021, DOI:10.32604/phyton.2021.015206

    Abstract The fatty acid dehydrogenase gene plays an important role in regulating the oleic acid content in soybean. Genome-wide association study screened out soybean oleic acid related gene Gm15G117700. A fragment size of 693bp was obtained by PCR amplification of the gene and, it was connected by seamless cloning technology to the pMD18T cloning vector. Based on the gene sequence cloned, bioinformatic analysis of gene protein was performed. The overexpression vector of Gm15G117700 and the CRISPR/Cas9 gene editing vector were constructed. The positive plants were obtained by Agrobacterium-mediated transformation of soybean cotyledon nodes and T2 plants were identified by conventional PCR,… More >

  • Open Access

    ARTICLE

    Gender Forecast Based on the Information about People Who Violated Traffic Principle

    Rui Li1, Guang Sun1,*, Jingyi He1, Ying Jiang1, Rui Sun1, Haixia Li1, Peng Guo1,2, Jianjun Zhang3

    Journal on Internet of Things, Vol.2, No.2, pp. 65-73, 2020, DOI:10.32604/jiot.2020.09868

    Abstract User portrait has been a booming concept in big data industry in recent years which is a direct way to restore users’ information. When it talks about user portrait, it will be connected with precise marketing and operating. However, there are more ways which can reflect the good use of user portrait. Commercial use is the most acceptable use but it also can be used in different industries widely. The goal of this paper is forecasting gender by user portrait and making it useful in transportation safety. It can extract the information from people who violated traffic principle to know… More >

  • Open Access

    ARTICLE

    Behavioral Feature and Correlative Detection of Multiple Types of Node in the Internet of Vehicles

    Pengshou Xie1, Guoqiang Ma1, *, Tao Feng1, Yan Yan1, 2, Xueming Han1

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1127-1137, 2020, DOI:10.32604/cmc.2020.09695

    Abstract Undoubtedly, uncooperative or malicious nodes threaten the safety of Internet of Vehicles (IoV) by destroying routing or data. To this end, some researchers have designed some node detection mechanisms and trust calculating algorithms based on some different feature parameters of IoV such as communication, data, energy, etc., to detect and evaluate vehicle nodes. However, it is difficult to effectively assess the trust level of a vehicle node only by message forwarding, data consistency, and energy sufficiency. In order to resolve these problems, a novel mechanism and a new trust calculating model is proposed in this paper. First, the four tuple… More >

  • Open Access

    ARTICLE

    Strength Degradation of Wood Members Based on the Correlation of Natural and Accelerated Decay Experiments

    Xueliang Wang1, Qiangang Xu1, Xiuxin Wang1, Junhui Guo2, Wancheng Cao1, Chun Xiao3,*

    Journal of Renewable Materials, Vol.8, No.5, pp. 565-577, 2020, DOI:10.32604/jrm.2020.09020

    Abstract An accelerated decay test and a natural decay test were conducted synchronically to explore the strength degradation of decaying wood members under long-term exposure to natural environment. A natural decay test was carried out to measure the bending strength, compressive strength parallel to grain and modulus of elasticity of the wood members, with 6 groups of specimens decayed in natural environment for 3 to 18 months respectively. To compare with corresponding decay test, in which 6 other groups of specimens were measured under accelerated conditions. The experimental data collected were evaluated by Pearson productmoment for the correlation. The results indicate… More >

  • Open Access

    ARTICLE

    Feature Fusion Multi-View Hashing Based on Random Kernel Canonical Correlation Analysis

    Junshan Tan1, Rong Duan1, Jiaohua Qin1, *, Xuyu Xiang1, Yun Tan1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 675-689, 2020, DOI:10.32604/cmc.2020.07730

    Abstract Hashing technology has the advantages of reducing data storage and improving the efficiency of the learning system, making it more and more widely used in image retrieval. Multi-view data describes image information more comprehensively than traditional methods using a single-view. How to use hashing to combine multi-view data for image retrieval is still a challenge. In this paper, a multi-view fusion hashing method based on RKCCA (Random Kernel Canonical Correlation Analysis) is proposed. In order to describe image content more accurately, we use deep learning dense convolutional network feature DenseNet to construct multi-view by combining GIST feature or BoW_SIFT (Bag-of-Words… More >

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