Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a ...Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.Wake up at 2 a.m.with a sick child?Medicine is at your door within minutes.This is life with China’s rapidly developing sales model known as instant retail.Instant retail is an evolution of traditional food delivery,expanding the concept from meals to virtually anything consumers might need.By integrating online ordering with rapid local fulfillment,it connects digital platforms with brick-and-mortar stores and leverages efficient delivery networks to bring goods to consumers within 30 to 60 minutes.With its speed,flexibility,and broad range of offerings,instant retail is rapidly becoming an everyday feature of urban life and is transforming the future of The Economy in Real Time retail.展开更多
In this work a Support Vector Machine Regression（SVMR） algorithm is used to calculate local magnitude（MI） using only five seconds of signal after the P wave onset of one three component seismic station. This algor...In this work a Support Vector Machine Regression（SVMR） algorithm is used to calculate local magnitude（MI） using only five seconds of signal after the P wave onset of one three component seismic station. This algorithm was trained with 863 records of historical earthquakes, where the input regression parameters were an exponential function of the waveform envelope estimated by least squares and the maximum value of the observed waveform for each component in a single station. Ten-fold cross validation was applied for a normalized polynomial kernel obtaining the mean absolute error for different exponents and complexity parameters. The local magnitude（MI） could be estimated with 0.19 units of mean absolute error. The proposed algorithm is easy to implement in hardware and may be used directly after the field seismological sensor to generate fast decisions at seismological control centers, increasing the possibility of having an effective reaction.展开更多
文摘Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.Wake up at 2 a.m.with a sick child?Medicine is at your door within minutes.This is life with China’s rapidly developing sales model known as instant retail.Instant retail is an evolution of traditional food delivery,expanding the concept from meals to virtually anything consumers might need.By integrating online ordering with rapid local fulfillment,it connects digital platforms with brick-and-mortar stores and leverages efficient delivery networks to bring goods to consumers within 30 to 60 minutes.With its speed,flexibility,and broad range of offerings,instant retail is rapidly becoming an everyday feature of urban life and is transforming the future of The Economy in Real Time retail.
文摘In this work a Support Vector Machine Regression（SVMR） algorithm is used to calculate local magnitude（MI） using only five seconds of signal after the P wave onset of one three component seismic station. This algorithm was trained with 863 records of historical earthquakes, where the input regression parameters were an exponential function of the waveform envelope estimated by least squares and the maximum value of the observed waveform for each component in a single station. Ten-fold cross validation was applied for a normalized polynomial kernel obtaining the mean absolute error for different exponents and complexity parameters. The local magnitude（MI） could be estimated with 0.19 units of mean absolute error. The proposed algorithm is easy to implement in hardware and may be used directly after the field seismological sensor to generate fast decisions at seismological control centers, increasing the possibility of having an effective reaction.
