This paper describes the conceptual framework and the methodology used to guide the systematic reviews of community-based interventions(CBIs)for the prevention and control of infectious diseases of poverty(IDoP).We ad...This paper describes the conceptual framework and the methodology used to guide the systematic reviews of community-based interventions(CBIs)for the prevention and control of infectious diseases of poverty(IDoP).We adapted the conceptual framework from the 3ie work on the‘Community-Based Intervention Packages for Preventing Maternal Morbidity and Mortality and Improving Neonatal Outcomes’to aid in the analyzing of the existing CBIs for IDoP.The conceptual framework revolves around objectives,inputs,processes,outputs,outcomes,and impacts showing the theoretical linkages between the delivery of the interventions targeting these diseases through various community delivery platforms and the consequent health impacts.We also describe the methodology undertaken to conduct the systematic reviews and the meta-analyses.展开更多
In order to realize intelligent greenhouse,an automatic navigation method for a mobile platform based on ultra-wideband(UWB)positioning technology was proposed and validated in this study.The time difference of arriva...In order to realize intelligent greenhouse,an automatic navigation method for a mobile platform based on ultra-wideband(UWB)positioning technology was proposed and validated in this study.The time difference of arrival(TDOA)approach was used to monitor and track the UWB positioning to obtain the localization information of the mobile platform working in a greenhouse.After applying polynomial fitting for positioning error correction,the system accuracy was within 5 mm.A fuzzy controller model was constructed by incorporating the lateral and heading deviations as input variables and the steering angle of front wheel as the output variable.A fuzzy rule was established based on domain knowledge,as well as the steering angle of front wheel offline query table,which was applied to alleviate the calculative load of the controller.Experimental results confirmed that the automatic navigation method proposed in this study performed satisfactorily,with a steady-state error ranging from 41 mm to 79 mm when tracking straight line,and an average error of 185 mm and an average maximum error of 532 mm when tracking polygon.In addition,the maximum error occurred at the polygonal corner which could meet the needs of driving on the narrow road in the greenhouse.The method proposed in this study provides a new systematic approach for the research of greenhouse automatic navigation.展开更多
文摘This paper describes the conceptual framework and the methodology used to guide the systematic reviews of community-based interventions(CBIs)for the prevention and control of infectious diseases of poverty(IDoP).We adapted the conceptual framework from the 3ie work on the‘Community-Based Intervention Packages for Preventing Maternal Morbidity and Mortality and Improving Neonatal Outcomes’to aid in the analyzing of the existing CBIs for IDoP.The conceptual framework revolves around objectives,inputs,processes,outputs,outcomes,and impacts showing the theoretical linkages between the delivery of the interventions targeting these diseases through various community delivery platforms and the consequent health impacts.We also describe the methodology undertaken to conduct the systematic reviews and the meta-analyses.
基金This work was financially supported by the Zhejiang Science and Technology Department Basic Public Welfare Research Project(Grant No.LGN18F030001)and the Major Project of Zhejiang Science and Technology Department(Grant No.2016C02G2100540).
文摘In order to realize intelligent greenhouse,an automatic navigation method for a mobile platform based on ultra-wideband(UWB)positioning technology was proposed and validated in this study.The time difference of arrival(TDOA)approach was used to monitor and track the UWB positioning to obtain the localization information of the mobile platform working in a greenhouse.After applying polynomial fitting for positioning error correction,the system accuracy was within 5 mm.A fuzzy controller model was constructed by incorporating the lateral and heading deviations as input variables and the steering angle of front wheel as the output variable.A fuzzy rule was established based on domain knowledge,as well as the steering angle of front wheel offline query table,which was applied to alleviate the calculative load of the controller.Experimental results confirmed that the automatic navigation method proposed in this study performed satisfactorily,with a steady-state error ranging from 41 mm to 79 mm when tracking straight line,and an average error of 185 mm and an average maximum error of 532 mm when tracking polygon.In addition,the maximum error occurred at the polygonal corner which could meet the needs of driving on the narrow road in the greenhouse.The method proposed in this study provides a new systematic approach for the research of greenhouse automatic navigation.
