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117results about How to "Guaranteed resources" patented technology

Method for extracting solanesol and chlorogenic acid from discard tobacco leaves

The invention provides a method for extracting solanesol and chlorogenic acid from discard tobacco leaves. The method comprises the following steps: (1) subjecting the discard tobacco leaves to reflux extraction with an aqueous ethanol solution with a concentration of 90 to 97% at a temperature of 35 to 40 DEG C and then filtering an extract with a ceramic membrane; (2) subjecting the extract to reduced pressure condensation at a temperature of 38 to 42 DEG C so as to obtain a dried substance; (3) dissolving the dried substance with water, carrying out filtration with the ceramic membrane, subjecting a filtrate to reduced pressure condensation so as to obtain a concentrate and standing a filter residue for subsequent usage; (4) dissolving the filter residue with ethyl acetate, carrying out filtration with the ceramic membrane, carrying out chromatographic separation by using a silica gel column, carrying out elution with absolute ethyl alcohol and subjecting an eluate to condensation and then to crystallization so as to obtain solanesol; and (5) carrying out chromatographic separation on the concentrate obtained in step (3) by using a macro-porous resin, carrying out elution with an aqueous ethanol solution with a concentration of 55 to 65%, condensing an eluate, adjusting a pH value to 3 to 3.5 and carrying out crystallization so as to obtain chlorogenic acid. The method provided by the invention has a simple process, is convenient to operate, effectively improves the utilization rate of the discard tobacco leaves, reduces production cost for chlorogenic acid and solanesol, has high yield and can effectively guarantee large scale production.
Owner:CHINA TOBACCO HUNAN INDAL CORP

Method, device and system for monitoring virtual machine process

The embodiment of the application provides a method, device and system for monitoring a virtual machine process. The system comprises a proxy component, a proxy service component and a log service component, wherein the proxy component comprises a service information collection unit, a log information collection unit, a service information sending unit and a log information sending unit that are used for collecting and sending service information and log information of the process in a virtual machine to the proxy service component and the log service component; the proxy service component comprises a service information receiving unit and a first running state monitoring unit that is used for monitoring a first running state of the process in the virtual machine according to the service information; and the log service component comprises a log information receiving unit and a second running state monitoring unit that is used for monitoring a second running state of the process in thevirtual machine according to the log information. According to the method, device and system provided by the embodiment of the application, the amount of computation in the virtual machine can be greatly reduced, and thus the resource consumption of a host machine where the virtual machine is located can be greatly reduced, and resources of the host machine available for service processing can beensured.
Owner:ALIBABA CLOUD COMPUTING LTD

Method and system for predicting people crowdedness

The invention discloses a method for predicting people crowdedness and the method comprises: first, obtaining the image frame sequence of a to-be-measured area; inputting the image frame sequence into a pedestrian detection module; through the pedestrian detection module, obtaining the characteristic vectors of the human face images; through the characteristic vectors of the human face images of two adjacent frames, obtaining and outputting the number of the traveling people; based on the number of the traveling people, calculating the people density; and inputting the people density into a people crowdedness predicting module to calculate and output the people crowdedness predicting vector signal. According to the method and the system of the invention, a support vector machine is utilized to train the predicting model, which increases the computation efficiency of the system and the precision of the predicting result so that the method and the system become more adaptable to the data and the environment. In addition, as the method and the system are equipped with a people crowdedness training module and a historical database, the system is empowered with the ability for self-adaptive learning, and therefore, the manual involvement is reduced, the human resource and use difficulty can be saved, making the method and system adaptable to complex and diverse environments. Along with the increase in the learning time and the enlargement of the historical data, the people crowdedness predicting model can achieve more precise predicting results, and the cost in doing so is also reduced.
Owner:CHONGQING UNIV OF ARTS & SCI
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