Numerous scientific research and engineering programs are being carried out globally in an effort to monitor environmental degradation, natural and anthropogenic disasters. These are part of a process to predict possible catastrophic events and help minimize their devastating impact on the environment and human life. Many of these programs, sometimes referred to as Early Warning Systems (EWSs),...

The use of mobile devices as an effective and targeted way for alerting the public in cases of disasters has become an important part of future infrastructures for early warning and disaster management. In contrast to classical alert approaches such as TV, Radio and sirens that are offering solely a one-directional communication the use of smart phones opens new potentials such as feedback mech...

There is evidence to support the claim that speedbreakers can cause accidents and injury. When a vehicle approaches a speed-breaker at a speed greater than some threshold velocity, the risk of accident or injury is substantial. Speed-breakers are inconspicuous in low visibility conditions, like at night, or when there is fog, rain or snow. This problem is particularly acute in developing countr...

In aquaculture process, common water quality monitoring system just collect data in real-time, and data-monitoring that have been collected is time postponed. It is necessary to conduct prediction and early warning on quality in accordance with its historical state and current state. This paper aims to conduct prediction and warning in terms of the DO content in carp aquaculture using neural ne...

Early Warning Score Systems assign scores to a patient’s vital signs to detect adverse events in order to secure timely medical response. However, most systems do not account for variations in vital signs due to aging changes or sex differences, which affects the accuracy of current systems for different deteriorating patient sub-groups. We aimed to develop an Ageand Sex-Based Early Warning Sco...

This paper describes the simulation-based design methodology used in the eVADER project for the development of targeted acoustic warning devices for increased detectability of Hybrid and Electric Vehicles (HEVs) while, at the same time, reducing urban noise pollution compared to conventional acoustic pedestrian warning systems. A key component of this system is an external warning signal genera...

With the features of high centroid, high load capacity and high aspect ratio, heavy vehicles are prone to rollover when running at high speeds in the corners, so the study of heavy vehicle rollover warning method presents important realistic meanings. In this paper, firstly, the composition of early warning systems is analyzed, and then the principles of rollover warning method based on suspens...

The large-scale stock price fluctuations that occur from time to in the global market highlight important research significance of crash risk. Existing researches have paid little attention impact abnormal audit fees on This article explores its relationship with prices this perspective. between risk and whether fee can be used as an early warning signal for company’s has enriched related influ...

The construction of large-scale wind farms results in a dramatic increase of wind turbine (WT) faults. The failure mode is also becoming increasingly complex. This study proposes a new model for early warning and diagnosis of WT faults to solve the problem of Supervisory Control And Data Acquisition (SCADA) systems, given that the traditional threshold method cannot provide timely warning. Firs...