With the help of the classical Abel’s lemma on summation by parts and algorithm of q-hypergeometric summations, we deal with the summation, which can be written as multiplication of a q-hypergeometric term and q-harm...With the help of the classical Abel’s lemma on summation by parts and algorithm of q-hypergeometric summations, we deal with the summation, which can be written as multiplication of a q-hypergeometric term and q-harmonic numbers. This enables us to construct and prove identities on q-harmonic numbers. Several examples are also given.展开更多
The Earth observation remote sensing images can display ground activities and status intuitively,which plays an important role in civil and military fields.However,the information obtained from the research only from ...The Earth observation remote sensing images can display ground activities and status intuitively,which plays an important role in civil and military fields.However,the information obtained from the research only from the perspective of images is limited,so in this paper we conduct research from the perspective of video.At present,the main problems faced when using a computer to identify remote sensing images are:They are difficult to build a fixed regular model of the target due to their weak moving regularity.Additionally,the number of pixels occupied by the target is not enough for accurate detection.However,the number of moving targets is large at the same time.In this case,the main targets cannot be recognized completely.This paper studies from the perspective of Gestalt vision,transforms the problem ofmoving target detection into the problem of salient region probability,and forms a Saliency map algorithm to extract moving targets.On this basis,a convolutional neural network with global information is constructed to identify and label the target.And the experimental results show that the algorithm can extract moving targets and realize moving target recognition under many complex conditions such as target’s long-term stay and small-amplitude movement.展开更多
This paper provides a comparative study of housing policies in the greater China area and Singapore.We trace out the key features of the housing markets in the Chinese mainland,the Hong Kong SAR,the Macao SAR,and Sin...This paper provides a comparative study of housing policies in the greater China area and Singapore.We trace out the key features of the housing markets in the Chinese mainland,the Hong Kong SAR,the Macao SAR,and Singapore and review policies adopted in these markets.Soaring housing prices may distort capital allocation efficiency as money flows into housing market instead of more productive sectors,which poses threat to longterm sustainability and economic growth.Governments in these four jurisdictions have implemented various macroprudential policies and regulations in an attempt to curb housing demand,however the effectiveness of housing policies varies across markets.The housing prices stabilise in Singapore but continue to rise in Greater China despite the introductions of various tightening policies.The policy effectiveness is contingent on not only the characteristics of the market but also on its design and implementations.展开更多
文摘With the help of the classical Abel’s lemma on summation by parts and algorithm of q-hypergeometric summations, we deal with the summation, which can be written as multiplication of a q-hypergeometric term and q-harmonic numbers. This enables us to construct and prove identities on q-harmonic numbers. Several examples are also given.
基金supported by Yulin Science and Technology Association Youth Talent Promotion Program(Grant No.20200212).
文摘The Earth observation remote sensing images can display ground activities and status intuitively,which plays an important role in civil and military fields.However,the information obtained from the research only from the perspective of images is limited,so in this paper we conduct research from the perspective of video.At present,the main problems faced when using a computer to identify remote sensing images are:They are difficult to build a fixed regular model of the target due to their weak moving regularity.Additionally,the number of pixels occupied by the target is not enough for accurate detection.However,the number of moving targets is large at the same time.In this case,the main targets cannot be recognized completely.This paper studies from the perspective of Gestalt vision,transforms the problem ofmoving target detection into the problem of salient region probability,and forms a Saliency map algorithm to extract moving targets.On this basis,a convolutional neural network with global information is constructed to identify and label the target.And the experimental results show that the algorithm can extract moving targets and realize moving target recognition under many complex conditions such as target’s long-term stay and small-amplitude movement.
文摘This paper provides a comparative study of housing policies in the greater China area and Singapore.We trace out the key features of the housing markets in the Chinese mainland,the Hong Kong SAR,the Macao SAR,and Singapore and review policies adopted in these markets.Soaring housing prices may distort capital allocation efficiency as money flows into housing market instead of more productive sectors,which poses threat to longterm sustainability and economic growth.Governments in these four jurisdictions have implemented various macroprudential policies and regulations in an attempt to curb housing demand,however the effectiveness of housing policies varies across markets.The housing prices stabilise in Singapore but continue to rise in Greater China despite the introductions of various tightening policies.The policy effectiveness is contingent on not only the characteristics of the market but also on its design and implementations.