人工智能已经进入第三个发展阶段,AI与互联网、大数据和云计算技术的结合极大地提升了人工智能的计算能力和数据处理能力,推动了AI在各个领域的广泛应用。作为一种工具,其出现使得犯罪工具升级,这也导致了一些传统罪行的形态更加复杂,...人工智能已经进入第三个发展阶段,AI与互联网、大数据和云计算技术的结合极大地提升了人工智能的计算能力和数据处理能力,推动了AI在各个领域的广泛应用。作为一种工具,其出现使得犯罪工具升级,这也导致了一些传统罪行的形态更加复杂,对社会的伤害程度增加。全国首例制作AI外挂犯罪被宣判,又是一种传统计算机犯罪通过与AI结合改变了运行逻辑,这一结合改变了传统外挂犯罪的行为方式,以及其所侵害的法益。因此,对制作新型AI类外挂犯罪是否可以适用与制作传统外挂类犯罪相同的罪名,即“提供侵入、非法控制计算机信息系统程序、工具罪”,需进一步讨论。对于此类新型AI类犯罪的定性,应通过研究其运行的技术机理来判断其法律性质,从而判处最精确的罪名。AI has entered its third stage of development. The combination of AI with the Internet, Big Data and cloud computing technology has greatly enhanced AI’s computing and data processing capabilities, it promotes the wide application of AI in various fields. As a kind of tool, its appearance makes the tool of crime upgrade, which also leads to the more complex pattern of some traditional crimes and the more harmful to the society. The first case of making AI plug-in crime in China was sentenced, and it is a traditional computer crime that changes the operation logic by combining with AI, which changes the behavior of traditional plug-in crime and the legal interests it infringes. Therefore, to make a new type of AI type of crime whether can be applied to make the same type of crime as the traditional type of crime, that is, “the provision of intrusion, illegal control of computer information system program and tools crime”, needs to be further discussed. To determine the nature of this new type of AI crime, we should judge its legal nature by studying its technical mechanism of operation, so as to sentence the most accurate crime.展开更多
针对传统稳态电能质量分级预警中多以数值大小与设定阈值对比、较少考虑指标长期变化趋势的局限性,提出一种基于趋势跨度指数的稳态电能质量趋势识别与预警方法。首先采用STL(seasonal and trend decomposition using locally weighted ...针对传统稳态电能质量分级预警中多以数值大小与设定阈值对比、较少考虑指标长期变化趋势的局限性,提出一种基于趋势跨度指数的稳态电能质量趋势识别与预警方法。首先采用STL(seasonal and trend decomposition using locally weighted regression)分解算法对稳态电能质量指标时间序列进行回归分解,提取趋势分量;其次采用Mann-Kendall检验法识别电能质量指标趋势分量的趋势类型;然后提出趋势跨度指数以量化电能质量指标趋势变化程度,并根据趋势跨度指数的分布特征划分预警等级;最后采用理想解排序法对监测点电能质量恶化风险进行综合评价。将该方法应用于某市稳态电能质量实际监测数据,对监测点各项电能质量指标以及整体电能质量水平进行趋势预警。展开更多
文摘人工智能已经进入第三个发展阶段,AI与互联网、大数据和云计算技术的结合极大地提升了人工智能的计算能力和数据处理能力,推动了AI在各个领域的广泛应用。作为一种工具,其出现使得犯罪工具升级,这也导致了一些传统罪行的形态更加复杂,对社会的伤害程度增加。全国首例制作AI外挂犯罪被宣判,又是一种传统计算机犯罪通过与AI结合改变了运行逻辑,这一结合改变了传统外挂犯罪的行为方式,以及其所侵害的法益。因此,对制作新型AI类外挂犯罪是否可以适用与制作传统外挂类犯罪相同的罪名,即“提供侵入、非法控制计算机信息系统程序、工具罪”,需进一步讨论。对于此类新型AI类犯罪的定性,应通过研究其运行的技术机理来判断其法律性质,从而判处最精确的罪名。AI has entered its third stage of development. The combination of AI with the Internet, Big Data and cloud computing technology has greatly enhanced AI’s computing and data processing capabilities, it promotes the wide application of AI in various fields. As a kind of tool, its appearance makes the tool of crime upgrade, which also leads to the more complex pattern of some traditional crimes and the more harmful to the society. The first case of making AI plug-in crime in China was sentenced, and it is a traditional computer crime that changes the operation logic by combining with AI, which changes the behavior of traditional plug-in crime and the legal interests it infringes. Therefore, to make a new type of AI type of crime whether can be applied to make the same type of crime as the traditional type of crime, that is, “the provision of intrusion, illegal control of computer information system program and tools crime”, needs to be further discussed. To determine the nature of this new type of AI crime, we should judge its legal nature by studying its technical mechanism of operation, so as to sentence the most accurate crime.
文摘针对传统稳态电能质量分级预警中多以数值大小与设定阈值对比、较少考虑指标长期变化趋势的局限性,提出一种基于趋势跨度指数的稳态电能质量趋势识别与预警方法。首先采用STL(seasonal and trend decomposition using locally weighted regression)分解算法对稳态电能质量指标时间序列进行回归分解,提取趋势分量;其次采用Mann-Kendall检验法识别电能质量指标趋势分量的趋势类型;然后提出趋势跨度指数以量化电能质量指标趋势变化程度,并根据趋势跨度指数的分布特征划分预警等级;最后采用理想解排序法对监测点电能质量恶化风险进行综合评价。将该方法应用于某市稳态电能质量实际监测数据,对监测点各项电能质量指标以及整体电能质量水平进行趋势预警。
