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为解决高电动汽车渗透率下充电需求受到配电设施容量限制的矛盾，提出了基于充电权在“微市场”中进行交易的电动汽车集群运行控制技术。在配电网中某一特定区域内某一时间段充电桩集群总充电功率受限时，通过电动汽车充电权在“微市场”机制下交易的市场化手段，实现在用户参与下的电动汽车充电需求自动调整，从而减少用电高峰时段的总充电功率，实现配电网特定区域内用电负荷削峰填谷。应用该策略，安装于一个配网变压器下的充电桩的总功率可以大于变压器容量与其它负荷用电尖峰的差值，大幅增加充电桩安装数量，满足更多用户的充电需求，同时保障用电安全，提高供电设施利用率，延缓供电设施升级改造的需求。

为解决经典AODV（按需距离矢量）路由协议中目的节点在已建立路由链路信号覆盖范围内随机移动时脱离其原来直接通信节点而断路、通信恢复时间长以及网络负载大等问题,对利用AODV协议Hello消息报文激活中间节点与目的节点的通信切换实现快速路由修复进行了研究,并得到改进后的路由协议AODVL。仿真结果表明,AODVL比经典的AODV路由协议减小了网络负载并缩短了路由修复时间。AODVL更适用于目的节点在已建立路由链路信号覆盖范围内随机移动的网络,节点间通信具有更高的实时性。

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Atomic Energy Science & Technology is the property of Editorial Board of Atomic Energy Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Liver cancer is a significant global disease burden with a major impact on population health, and it is one of the important concerns in terms of public health worldwide. Cancer risk prediction models can estimate an individual’s absolute risk of developing cancer. Individual risk assessment allows targeted screening of high-risk populations, which is essential for primary and secondary cancer prevention. In this review, we examine existing epidemiological studies to explore key issues in the design, predictive variables, and performance of risk prediction models for liver cancer in the general population. The aim is to provide an important reference for the future development of highly comprehensive liver cancer risk prediction models. [ABSTRACT FROM AUTHOR]

Copyright of Atomic Energy Science & Technology is the property of Editorial Board of Atomic Energy Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chinese Institute of Food Science & Technology / Zhongguo Shipin Xuebao is the property of Journal of Chinese Institute of Food Science & Technology Periodical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Geoscientica Sinica is the property of Acta Geoscientica Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Crop drought diagnosis has been an urgent need to be solved with the development of precision irrigation. It is a high demand to improve the accuracy and timeliness of crop water phenotype diagnosis in the field of intelligent irrigation. In this study, an intelligent diagnosis of winter wheat drought was proposed using improved machine vision. Field experiments were carried out to verify. Three treatments were set in the pit test: suitable, moderate drought and severe drought treatment. The early RGB HD images were capture from the winter wheat by digital camera. The sensitive areas of wheat images were segmented by K-means clustering with the improved by HSV color space. The color and texture features were then extracted as principal components. The support vector machine (SVM) that optimized by bat algorithm (BA) was used to classify the data after dimensionality reduction. Compared with the SVM with/without optimization by Genetic Algorithm, the BA-SVM model was more efficient in diagnosis. The K-means clustering combined with HSV color shared the better segmentation than the traditional one. There were the extract seven-dimensional color features of red channel (R), green channel (G), blue channel (B), brightness (V), 2G-R, 2G-B, (G+R+B)/3 and four-dimensional texture features Energy, Homogeneity, Contrast, Correlation. The principal component analysis was used to reduce the dimensionality of 11 dimensional features. There were the first 3-dimensional principal components with a cumulative contribution rate of 97.2%. The BA was used to optimize the penalty factor and kernel parameters of SVM. The recognition accuracy after dimensionality reduction by principal component analysis was superior to other feature combinations. The recognition accuracy was 96.1% and the running time was 31s, which was 8.3%, 7.2% and 4.4% higher than those of color feature, texture feature and color + texture feature, respectively. The running time was shortened by 14, 21 and 25 s, respectively. Compared with the genetic algorithm SVM (GA-SVM) and unoptimized SVM, the dimensionality reduction features were improved by 6.1% and 8.9%, and shortened by 7 and 14 s, respectively. Therefore, the intelligent diagnosis of winter wheat drought was constructed using improved algorithms, such as image segmentation, feature extraction, data dimensionality reduction, data recognition and classification. The finding can provide the real-time diagnosis of winter wheat drought for the decision-making on intelligent irrigation. [ABSTRACT FROM AUTHOR]

Copyright of New Building Materials / Xinxing Jianzhu Cailiao is the property of New Building Materials Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of the Chinese Society of Rare Earths is the property of Editorial Department of Journal of the Chinese Society of Rare Earths and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Surfactant Detergent & Cosmetics (2097-2806) is the property of China Surfactant Detergent & Cosmetics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Modern Food Science & Technology is the property of Editorial Office of Modern Food Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Geoscientica Sinica is the property of Acta Geoscientica Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China Agricultural University is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The sea area where the cross-sea bridge is located has the characteristics of deep water, high waves and high flow velocity, and the wave current force is one of the control loads of the foundation structure. In this paper, a calculation method for wave current forces of bridge foundations with complex bridge piers-cap-pile foundations was established by constructing a wave and flow model of pile foundation, bridge piers and cap structure, and combining with the results of wave and flow coupling flume model test. The method has reliable calculation accuracy and high calculation efficiency. The error between the model and the physical model is less than 10%, and the calculated value is slightly safe. The method proposed in this paper has been applied to the comparison and selection of foundation structures for the Dongwuyang cross-sea bridge, and a better design scheme has been obtained. The research results can be applied to the calculation of wave current force for similar cross-sea bridges and offshore wind power foundations, providing convenience for the comparison and selection of foundation structure schemes in the early stage of construction. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Mechanics is the property of Chinese Journal of Applied Mechanics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Oncology is the property of Chinese Journal of Oncology / Zhonghua Zhongliu Zazhi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nuclear Safety is the property of Nuclear & Radiation Safety Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Brewing is the property of China Brewing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ensuring the safe production of offshore oil and gas is an important requirement for the implementation of the national energy strategy. CNOOC has carried out predictive maintenance based on offline status monitoring and wired online monitoring to ensure the safety of oil and gas production through the integrity management of equipment and facilities. With the rapid development of industrial Internet technology, CNOOC has put forward the "1534" overall development strategy to leap over digital management and carry out the construction and development of cloud platform services; For intelligent application scenarios such as intelligent oil field construction and unmanned platform construction, the demand for digital equipment and intelligent management services is increasing, and the construction cost of conventional wired monitoring is relatively high, mainly for key units; In addition, the particularity of offshore oil, network environment and production environment are easy to affect digital management. At present, wireless monitoring can better meet the requirements of cluster digital inspection, intelligent analysis and evaluation, low-cost management and control. Combined with the existing digital conditions such as CNOOC Cloud, this paper studies and designs the wireless monitoring system architecture based on cloud computing and key technologies of cloud edge collaboration. Through field application, the wireless monitoring system based on cloud edge collaboration can effectively capture equipment abnormal status information and intelligently identify equipment risks, guide oil and gas production sites to carry out predictive maintenance, and reduce system construction and equipment operation and maintenance costs. [ABSTRACT FROM AUTHOR]

In recent years, supervised machine learning-based Android malware detection methods have made some progress. However, due to the difficulty in collecting malware samples, the size of labeled datasets is generally small, which leads to limited generalization ability of the trained supervised models. To address this problem, an unsupervised and supervised combined malware detection method is proposed. Firstly, a language model is pre-trained on a large amount of unlabeled APK samples using unsupervised methods to learn the rich and complex semantic relationships between different operators. Then, the pre-trained language model is fine-tuned by the labeled malware samples to realize the malware detecting ability. Experiments on datasets such as Drebin demonstrate that the proposed method has better generalization ability and detection performance compared with the baseline method, which achieves a maximum accuracy of 98.7%. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Geological Hazard & Control is the property of China Institute of Geological Environmental Monitoring (CIGEM) Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chinese Institute of Food Science & Technology / Zhongguo Shipin Xuebao is the property of Journal of Chinese Institute of Food Science & Technology Periodical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Atomic Energy Science & Technology is the property of Editorial Board of Atomic Energy Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Food Research & Development is the property of Food Research & Development Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)