Discriminating internal layers by radio echo sounding is important in analyzing the thickness and ice deposits in the Antarctic ice sheet.The signal processing method of synthesis aperture radar(SAR)has been widely us...Discriminating internal layers by radio echo sounding is important in analyzing the thickness and ice deposits in the Antarctic ice sheet.The signal processing method of synthesis aperture radar(SAR)has been widely used for improving the signal to noise ratio(SNR)and discriminating internal layers by radio echo sounding data of ice sheets.This method is not efficient when we use edge detection operators to obtain accurate information of the layers,especially the ice-bed interface.This paper presents a new image processing method via a combined robust principal component analysis-total variation(RPCA-TV)approach for discriminating internal layers of ice sheets by radio echo sounding data.The RPCA-based method is adopted to project the high-dimensional observations to low-dimensional subspace structure to accelerate the operation of the TV-based method,which is used to discriminate the internal layers.The efficiency of the presented method has been tested on simulation data and the dataset of the Institute of Electronics,Chinese Academy of Sciences,collected during CHINARE 28.The results show that the new method is more efficient than the previous method in discriminating internal layers of ice sheets by radio echo sounding data.展开更多
With the advancement of internet technology and the widespread adoption of high-speed network technologies such as 5G,e-commerce platforms have become the primary channels for everyday shopping.However,issues such as&...With the advancement of internet technology and the widespread adoption of high-speed network technologies such as 5G,e-commerce platforms have become the primary channels for everyday shopping.However,issues such as"big data price discrimination"and predatory pricing have emerged during their development,leading to price monopolies that harm the real economy and public interest.This study analyzes the legal regulatory framework,fundamental principles,regulatory measures,and their advantages and disadvantages concerning price monopoly on e-commerce platforms.It further identifies the factors influencing the effectiveness of legal regulation and the challenges faced.Based on this analysis,the study proposes recommendations such as improving lega l frameworks,strengthening law enforcement and supervision,enhancing technological capabilities,and promoting industry self-discipline,making it a topic of significant practical relevance.展开更多
Increasingly,algorithms challenge legal regulations,and also challenge the right to explanation,personal privacy and freedom,and individual equal protection.As decision-making mechanisms for human-machine interaction,...Increasingly,algorithms challenge legal regulations,and also challenge the right to explanation,personal privacy and freedom,and individual equal protection.As decision-making mechanisms for human-machine interaction,algorithms are not value-neutral and should be legally regulated.Algorithm disclosure,personal data empowerment,and anti-algorithmic discrimination are traditional regulatory methods relating to algorithms,but mechanically using these methods presents difficulties in feasibility and desirability.Algorithm disclosure faces difficulties such as technical infeasibility,meaningless disclosure,user gaming and intellectual property right infringement.And personal data empowerment faces difficulties such as personal difficulty in exercising data rights and excessive personal data empowerment,making it difficult for big data and algorithms to operate effectively.Anti-algorithmic discrimination faces difficulties such as non-machine algorithmic discrimination,impossible status neutrality,and difficult realization of social equality.Taking scenarios of algorithms lightly is the root cause of the traditional algorithm regulation path dilemma.Algorithms may differ in attributes due to specific algorithmic subjects,objects and domains involved.Therefore,algorithm regulation should be developed and employed based on a case-by-case approach to the development of accountable algorithms.Following these development principles,specific rules can be enacted to regulate algorithm disclosure,data empowerment,and anti-algorithmic discrimination.展开更多
基金supported by the National Hi-Tech Research and Development Program of China("863"Project)(Grant No.2011AA040202)the National Natural Science Foundation of China(Grant No.40976114)
文摘Discriminating internal layers by radio echo sounding is important in analyzing the thickness and ice deposits in the Antarctic ice sheet.The signal processing method of synthesis aperture radar(SAR)has been widely used for improving the signal to noise ratio(SNR)and discriminating internal layers by radio echo sounding data of ice sheets.This method is not efficient when we use edge detection operators to obtain accurate information of the layers,especially the ice-bed interface.This paper presents a new image processing method via a combined robust principal component analysis-total variation(RPCA-TV)approach for discriminating internal layers of ice sheets by radio echo sounding data.The RPCA-based method is adopted to project the high-dimensional observations to low-dimensional subspace structure to accelerate the operation of the TV-based method,which is used to discriminate the internal layers.The efficiency of the presented method has been tested on simulation data and the dataset of the Institute of Electronics,Chinese Academy of Sciences,collected during CHINARE 28.The results show that the new method is more efficient than the previous method in discriminating internal layers of ice sheets by radio echo sounding data.
文摘With the advancement of internet technology and the widespread adoption of high-speed network technologies such as 5G,e-commerce platforms have become the primary channels for everyday shopping.However,issues such as"big data price discrimination"and predatory pricing have emerged during their development,leading to price monopolies that harm the real economy and public interest.This study analyzes the legal regulatory framework,fundamental principles,regulatory measures,and their advantages and disadvantages concerning price monopoly on e-commerce platforms.It further identifies the factors influencing the effectiveness of legal regulation and the challenges faced.Based on this analysis,the study proposes recommendations such as improving lega l frameworks,strengthening law enforcement and supervision,enhancing technological capabilities,and promoting industry self-discipline,making it a topic of significant practical relevance.
文摘Increasingly,algorithms challenge legal regulations,and also challenge the right to explanation,personal privacy and freedom,and individual equal protection.As decision-making mechanisms for human-machine interaction,algorithms are not value-neutral and should be legally regulated.Algorithm disclosure,personal data empowerment,and anti-algorithmic discrimination are traditional regulatory methods relating to algorithms,but mechanically using these methods presents difficulties in feasibility and desirability.Algorithm disclosure faces difficulties such as technical infeasibility,meaningless disclosure,user gaming and intellectual property right infringement.And personal data empowerment faces difficulties such as personal difficulty in exercising data rights and excessive personal data empowerment,making it difficult for big data and algorithms to operate effectively.Anti-algorithmic discrimination faces difficulties such as non-machine algorithmic discrimination,impossible status neutrality,and difficult realization of social equality.Taking scenarios of algorithms lightly is the root cause of the traditional algorithm regulation path dilemma.Algorithms may differ in attributes due to specific algorithmic subjects,objects and domains involved.Therefore,algorithm regulation should be developed and employed based on a case-by-case approach to the development of accountable algorithms.Following these development principles,specific rules can be enacted to regulate algorithm disclosure,data empowerment,and anti-algorithmic discrimination.
