Infectious disease outbreaks require effective emergency preparedness strategies,including the rapid deployment of community isolation centers.However,selecting suitable locations for these facilities is a complex dec...Infectious disease outbreaks require effective emergency preparedness strategies,including the rapid deployment of community isolation centers.However,selecting suitable locations for these facilities is a complex decision-making problem involving multiple criteria and significant uncertainty,especially regarding public acceptance and infrastructure readiness.This research proposes a fuzzy multi-criteria decision-making framework to support location selection that enhances both operational efficiency and community resilience.The framework defines community resilience not only as the ability to recover from health shocks but also as the capacity to engage with,support,and accept local public health interventions.The model integrates the fuzzy analytic hierarchy process and the fuzzy technique for order preference by similarity to the ideal solution using trapezoidal fuzzy numbers to better represent uncertainty in expert judgments and ambiguity in community feedback.A real-world case study from Chiang Mai,Thailand,evaluates six candidate sites based on criteria such as accessibility,environmental impact,community consent,and emergency readiness.The results demonstrate the model’s capacity to support context-sensitive,transparent,and resilient public health decision-making.This approach contributes to safety science by offering a reproducible and computationally efficient decision-support tool that improves the siting of health infrastructure in response to pandemics.It emphasizes the integration of technical and social dimensions to support emergency preparedness and long-term resilience in vulnerable communities.展开更多
This paper presents a new dual V_t 8 T SRAM cell having single bit-line read and write, in addition to Write Assist and Read Isolation（WARI）. Also a faster write back scheme is proposed for the half selected cells. ...This paper presents a new dual V_t 8 T SRAM cell having single bit-line read and write, in addition to Write Assist and Read Isolation（WARI）. Also a faster write back scheme is proposed for the half selected cells. A high V_t device is used for interrupting the supply to one of the inverters for weakening the feedback loop for assisted write. The proposed cell provides an improved read static noise margin（RSNM） due to the bit-line isolation during the read. Static noise margins for data read（RSNM）, write（WSNM）, read delay, write delay, data retention voltage（DRV）, leakage and average powers have been calculated. The proposed cell was found to operate properly at a supply voltage as small as 0.41 V. A new write back scheme has been suggested for half-selected cells,which uses a single NMOS access device and provides reduced delay, pulse timing hardware requirements and power consumption. The proposed new WARI 8 T cell shows better performance in terms of easier write, improved read noise margin, reduced leakage power, and less delay as compared to the existing schemes that have been available so far. It was also observed that with proper adjustment of the cell ratio the supply voltage can further be reduced to 0.2 V.展开更多
文摘Infectious disease outbreaks require effective emergency preparedness strategies,including the rapid deployment of community isolation centers.However,selecting suitable locations for these facilities is a complex decision-making problem involving multiple criteria and significant uncertainty,especially regarding public acceptance and infrastructure readiness.This research proposes a fuzzy multi-criteria decision-making framework to support location selection that enhances both operational efficiency and community resilience.The framework defines community resilience not only as the ability to recover from health shocks but also as the capacity to engage with,support,and accept local public health interventions.The model integrates the fuzzy analytic hierarchy process and the fuzzy technique for order preference by similarity to the ideal solution using trapezoidal fuzzy numbers to better represent uncertainty in expert judgments and ambiguity in community feedback.A real-world case study from Chiang Mai,Thailand,evaluates six candidate sites based on criteria such as accessibility,environmental impact,community consent,and emergency readiness.The results demonstrate the model’s capacity to support context-sensitive,transparent,and resilient public health decision-making.This approach contributes to safety science by offering a reproducible and computationally efficient decision-support tool that improves the siting of health infrastructure in response to pandemics.It emphasizes the integration of technical and social dimensions to support emergency preparedness and long-term resilience in vulnerable communities.
文摘This paper presents a new dual V_t 8 T SRAM cell having single bit-line read and write, in addition to Write Assist and Read Isolation（WARI）. Also a faster write back scheme is proposed for the half selected cells. A high V_t device is used for interrupting the supply to one of the inverters for weakening the feedback loop for assisted write. The proposed cell provides an improved read static noise margin（RSNM） due to the bit-line isolation during the read. Static noise margins for data read（RSNM）, write（WSNM）, read delay, write delay, data retention voltage（DRV）, leakage and average powers have been calculated. The proposed cell was found to operate properly at a supply voltage as small as 0.41 V. A new write back scheme has been suggested for half-selected cells,which uses a single NMOS access device and provides reduced delay, pulse timing hardware requirements and power consumption. The proposed new WARI 8 T cell shows better performance in terms of easier write, improved read noise margin, reduced leakage power, and less delay as compared to the existing schemes that have been available so far. It was also observed that with proper adjustment of the cell ratio the supply voltage can further be reduced to 0.2 V.
