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Accurate and prompt determination of fire types is essential for effective firefighting and reducing damage. However, traditional methods such as smoke detection, visual analysis, and wireless signals are not able to identify fire types. This paper introduces FireSonic, an acoustic sensing system that leverages commercial speakers and microphones to actively probe the fire using acoustic signals, effectively identifying fire types. By incorporating beamforming technology, FireSonic first enhances signal clarity and reliability, thus mitigating signal attenuation and distortion. To establish a reliable correlation between fire type and sound propagation, FireSonic quantifies the heat release rate (HRR) of flames by analyzing the relationship between fire-heated areas and sound wave propagation delays. Furthermore, the system extracts spatiotemporal features related to fire from channel measurements. The experimental results demonstrate that FireSonic attains an average fire type classification accuracy of 95.5 % and a detection latency of less than 400 ms, satisfying the requirements for real-time monitoring. This system significantly enhances the formulation of targeted firefighting strategies, boosting fire response effectiveness and public safety. [ABSTRACT FROM AUTHOR]

Aims: To determine the global and regional burden of stroke due to high temperature and the spatiotemporal trends in 204 countries and territories from 1990 to 2019. Methods: Based on Global Burden of Disease Study 2019, deaths, disability-adjusted life years (DALYs), and age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) for stroke attributable to high temperature (i.e. a daily mean temperature warmer than the theoretical minimum-risk exposure level (TMREL)) were calculated in global, geographical location, and country and analyzed by age, sex, subtypes, and socio-demographic index (SDI) from 1990 to 2019. The trends in ASMR and ASDR from 1990 to 2019 were estimated by linear regression model. The regression coefficients (β) referred to a mean change of per year for ASMR or ASDR attributable to high temperature. Results: The global burden of stroke attributable to high temperature had an increase trend from 1990 to 2019 (β = 0.005, 95% uncertainty interval (UI) = 0.003–0.007 for ASMR and β = 0.104, 95% UI = 0.066–0.142 for ASDR, respectively). Globally, in 2019, an estimated 0.048 million deaths and 1.01 million DALYs of stroke were attributable to high temperature, and the global ASMR and ASDR of stroke attributable to high temperature were 0.60 (95% UI = 0.07–1.30) and 13.31 (1.40–28.97) per 100,000 population, respectively. The largest burden occurred in Western Sub-Saharan Africa, followed by South Asia, Southeast Asia, and North Africa and the Middle East. ASMR and ASDR increased with age and were higher in males and for intracerebral hemorrhage, and were the highest in the low SDI regions. In 2019, the region with the largest percentage increase in ASMR and ASDR attributable to high temperature was Eastern Sub-Saharan Africa from 1990 to 2019. Conclusions: Stroke burden due to high temperature has been increasing, and a higher burden was observed in people aged 65–75 years, males, and countries with a low SDI. Stroke burden attributable to high temperature constitutes a major global public health concern in the context of global warming. [ABSTRACT FROM AUTHOR]

With the rapid development of advanced driver assistance systems (ADASs) and infotainment systems, automotive networks have higher requirements for bandwidth and real-time than before. Time-triggered Ethernet (TTE) supports real-time time-triggered communication and event-triggered communication coexistence. TTE is used as a backbone network in intelligent connected vehicles to meet the growing real-time and reliability requirements. To design a real-time TTE switch, the time delay of data streams needs to be analyzed. Most of the recent works analyze end-to-end latency, which is usually based on a particular integration policy and ignores the impact of BE flows. In this paper, we analyze the delay bounds of RC flows in the TTE switch using delay reachability techniques. We consider the impacts of TT flows, RC flows and BE flows on RC flows based on three integration policies: shuffling, preemption and timely blocking, respectively. We obtain a secure upper limit of delay through analysis. Experiments illustrate the degree of influence of each factor on the delay bound of RC flow, which provides a reference for the optimal design of the TTE switch in intelligent connected vehicles. [ABSTRACT FROM AUTHOR]

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