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基于改进ARIMA模型的光伏建筑一体化股票短期预测 被引量:1
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作者 林政 倪肖婕 王博 《计算机时代》 2022年第7期40-43,共4页
以沪深股市中37支光伏建筑一体化(BIPV)相关股票为依据,通过建立基于滑动窗口ARIMA模型分析预测未来短期板块指数,得出了未来短期内BIPV相关股票的总体趋势。此外通过与一般ARIMA模型的预测结果进行对比说明本文的模型具有更好的预测效果。
关键词 光伏建筑一体化 ARIMA模型 滑动窗口
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Secure and Efficient Digital Rights Management Mechanisms with Privacy Protection
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作者 黄政嘉 卢佩君 +3 位作者 庄文胜 范俊逸 林政 林俊宏 《Journal of Shanghai Jiaotong university(Science)》 EI 2014年第4期443-447,共5页
In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by th... In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by the service providers except that some personal privacy data are stored at the client device. An attacker may try to invade the systems, and it will cause the damage of users and service providers. Also, users may lose their mobile devices and then it may cause the data disclosure problem. As a result, the data and privacy protection of users become an important issue in these environments. Besides, since many mobile devices are used in these environments, secure authentication and data protection methods must be efficient in these low resource environments. In this paper, we propose an efficient and privacy protection digital rights management(DRM)scheme that users can verify the valid service servers and the service servers can ensure the legal users. Since the key delegation center of the third party has the robust security protection, our proposed scheme stores the encrypted secret keys in the key delegation center. This approach not only can reduce the storage space of the user devices, but also can recover the encrypted secret keys in the key delegation center when a user loses her/his devices for solving the device losing problem. 展开更多
关键词 identity authentication elliptic curve cryptosystem privacy protection digital rights management(DRM)
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A single dual-mode gas sensor for early safety warning of Li-ion batteries:Micro-scale Li dendrite and electrolyte leakage
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作者 Wenjun Yan Zhishen Jin +4 位作者 Zhengyang Lin Shiyu Zhou Yonghai Du Yulong Chen Houpan Zhou 《Chinese Physics B》 SCIE EI CAS CSCD 2022年第11期291-296,共6页
Li dendrites and electrolyte leakage are common causes of Li-ion battery failure.H_(2),generated by Li dendrites,and electrolyte vapors have been regarded as gas markers of the early safety warning of Li-ion batteries... Li dendrites and electrolyte leakage are common causes of Li-ion battery failure.H_(2),generated by Li dendrites,and electrolyte vapors have been regarded as gas markers of the early safety warning of Li-ion batteries.SnO_(2)-based gas sensors,widely used for a variety of applications,are promising for the early safety detection of Li-ion batteries,which are necessary and urgently required for the development of Li-ion battery systems.However,the traditional SnO_(2)sensor,with a single signal,cannot demonstrate intelligent multi-gas recognition.Here,a single dual-mode(direct and alternating current modes)SnO_(2)sensor demonstrates clear discrimination of electrolyte vapors and H_(2),released in different states of Li-ion batteries,together with principal component analysis(PCA)analysis.This work provides insight into the intelligent technology of single gas sensors. 展开更多
关键词 gas sensors single dual-mode multivariable sensors Li-batteries early safety warning
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