This paper proposes a cochlear prosthetic system with an implanted digital signal processor (DSP). This system transmits voice-band signals with a low data rate through the wireless link, free of the data-rate limit...This paper proposes a cochlear prosthetic system with an implanted digital signal processor (DSP). This system transmits voice-band signals with a low data rate through the wireless link, free of the data-rate limitation and suitable for future development. By optimizing the speech processing algorithm and the DSP hardware design, the implanted DSP manages to execute the continuous interleaved sampling (CIS) algorithm at a clock frequency of 3MHz and a power consumption of only 1.91mW. With an analytic power-transmission efficiency of the wireless inductive link (40%), the power overhead caused by the implanted DSP is derived as 2.87roW,which is trivial when compared with the power consumption of existing cochlear prosthetic systems (tens of milliwatts). With the DSP implanted,this new system can.be easily developed into a fully implanted cochlear prosthesis.展开更多
Ecological culture has a low-carbon attribute,which coincides with the concepts of energy conservation and emission reduction in low-carbon tourism.Analyzing the differences in the public perception of the two is of g...Ecological culture has a low-carbon attribute,which coincides with the concepts of energy conservation and emission reduction in low-carbon tourism.Analyzing the differences in the public perception of the two is of great significance for achieving the carbon neutral goal of tourism.Firstly,the views of nature,equality and ecology in ecological culture,as well as the cognition and participation willingness for low-carbon tourism were identified by using the principal component analysis method.Secondly,all samples were divided into four types of ecological culture cognition:sufficient,relatively sufficient,general and poorer,by the K-means clustering method.Thirdly,significant differences in the low-carbon tourism cognition among different types were revealed by using the ANOVA method.Finally,the influences of the main demographic characteristics on the low-carbon tourism cognition were analyzed.This analysis showed that gender,age,education level and income level had significant differences in some aspects of low-carbon tourism cognition and participation willingness,especially education level.On this basis,several corresponding strategies were put forward for managing the cognitive differences of the different types,which could contribute to the realization of the carbon neutral vision of tourism.展开更多
Accompanying the rapid growth of China's population and economy, energy consumption and carbon emission increased significantly from 1978 to 2012. China is now the largest energy consumer and CO2 emitter of the wo...Accompanying the rapid growth of China's population and economy, energy consumption and carbon emission increased significantly from 1978 to 2012. China is now the largest energy consumer and CO2 emitter of the world, leading to much interest in researches on the nexus between energy consumption, carbon emissions and low-carbon economy. This article presents the domestic Chinese studies on this hotpot issue, and we obtain the following findings. First, most research fields involve geography, ecology and resource economics, and research contents contained some analysis of current situation, factors decomposition, predictive analysis and the introduction of methods and models. Second, there exists an inverted "U-shaped" curve connection between carbon emission, energy consumption and economic development. Energy consumption in China will be in a low-speed growth after 2035 and it is expected to peak between 6.19–12.13 billion TCE in 2050. China's carbon emissions are expected to peak in 2035, or during 2020 to 2045, and the optimal range of carbon emissions is between 2.4–3.3 PgC/year(1 PgC=1 billion tons C) in 2050. Third, future research should be focused on global carbon trading, regional carbon flows, reforming the current energy structure, reducing energy consumption and innovating the low-carbon economic theory, as well as establishing a comprehensive theoretical system of energy consumption, carbon emissions and low-carbon economy.展开更多
基金the National Natural Science Foundation of China(No.60475018)~~
文摘This paper proposes a cochlear prosthetic system with an implanted digital signal processor (DSP). This system transmits voice-band signals with a low data rate through the wireless link, free of the data-rate limitation and suitable for future development. By optimizing the speech processing algorithm and the DSP hardware design, the implanted DSP manages to execute the continuous interleaved sampling (CIS) algorithm at a clock frequency of 3MHz and a power consumption of only 1.91mW. With an analytic power-transmission efficiency of the wireless inductive link (40%), the power overhead caused by the implanted DSP is derived as 2.87roW,which is trivial when compared with the power consumption of existing cochlear prosthetic systems (tens of milliwatts). With the DSP implanted,this new system can.be easily developed into a fully implanted cochlear prosthesis.
基金The Special Research Project on Science and Technology Strategy of Shanxi Province(202104031402065,202104031402061)。
文摘Ecological culture has a low-carbon attribute,which coincides with the concepts of energy conservation and emission reduction in low-carbon tourism.Analyzing the differences in the public perception of the two is of great significance for achieving the carbon neutral goal of tourism.Firstly,the views of nature,equality and ecology in ecological culture,as well as the cognition and participation willingness for low-carbon tourism were identified by using the principal component analysis method.Secondly,all samples were divided into four types of ecological culture cognition:sufficient,relatively sufficient,general and poorer,by the K-means clustering method.Thirdly,significant differences in the low-carbon tourism cognition among different types were revealed by using the ANOVA method.Finally,the influences of the main demographic characteristics on the low-carbon tourism cognition were analyzed.This analysis showed that gender,age,education level and income level had significant differences in some aspects of low-carbon tourism cognition and participation willingness,especially education level.On this basis,several corresponding strategies were put forward for managing the cognitive differences of the different types,which could contribute to the realization of the carbon neutral vision of tourism.
基金National Natural Science Foundation of China,No.41271547National Natural Science Foundation of China,No.41401644Strategic Priority Research Program–Climate Change:Carbon Budget and Related Issues of the Chinese Academy of Sciences,No.XDA05010400
文摘Accompanying the rapid growth of China's population and economy, energy consumption and carbon emission increased significantly from 1978 to 2012. China is now the largest energy consumer and CO2 emitter of the world, leading to much interest in researches on the nexus between energy consumption, carbon emissions and low-carbon economy. This article presents the domestic Chinese studies on this hotpot issue, and we obtain the following findings. First, most research fields involve geography, ecology and resource economics, and research contents contained some analysis of current situation, factors decomposition, predictive analysis and the introduction of methods and models. Second, there exists an inverted "U-shaped" curve connection between carbon emission, energy consumption and economic development. Energy consumption in China will be in a low-speed growth after 2035 and it is expected to peak between 6.19–12.13 billion TCE in 2050. China's carbon emissions are expected to peak in 2035, or during 2020 to 2045, and the optimal range of carbon emissions is between 2.4–3.3 PgC/year(1 PgC=1 billion tons C) in 2050. Third, future research should be focused on global carbon trading, regional carbon flows, reforming the current energy structure, reducing energy consumption and innovating the low-carbon economic theory, as well as establishing a comprehensive theoretical system of energy consumption, carbon emissions and low-carbon economy.