In this paper, we aim to solve the problem of high-rise building construction project safety risk forecasting. The main innovation of this paper lies in that we convert the project safety risk forecasting problem to a classification problem, and design a novel QPSO-SVM model to implement the classification process. Before predicting the project safety risk, we present an index system, which con...

Accident data shows that the vast majority of pedestrian accidents involve a passenger car. A refined method for estimating the potential effectiveness of a technology designed to support the car driver in mitigating or avoiding pedestrian accidents is presented. The basis of the benefit prediction method consists of accident scenario information for pedestrian-passenger car accidents from GIDA...

Recent years, the transportation efficiency and related issues have become one of the main focuses of the global world. Along this line, intelligent transportation systems (ITS) based on Internet of Things (IoT) has become a common solution to may transportation problems, such as traffic prediction, road status evaluation, traffic accident detection, etc. In this paper, we focus on the traffic ...

Risk and security are two symmetric descriptions of the uncertainty same system. If risk early warning is carried out in time, capability system can be improved. A safety model based on fuzzy c-means clustering (FCM) back-propagation neural network was established, a genetic algorithm introduced to optimize connection weight other properties network, so as construct coal mining face. The applie...

The Chernobyl accident and unfortunately the recent accident at the Fukushima 1 Nuclear Power Plant are the most serious accidents in the history of the nuclear technology and industry. Both of them have a huge and prolonged impact on environment as well as human health. Therefore, any technological developments and strategies that could diminish the consequences of such unfortunate events are ...

Coal mine gas accident is one of the most serious threats in process safe coal mining, making it important to accurately predict emission. To improve accuracy emission prediction, a hybrid machine learning prediction model combining random forest (RF) algorithm, improved gray wolf optimizer (IGWO) algorithm and support vector regression (SVR) proposed, effect validated by using actual measured ...

The spreading of oil in an open ocean may cause serious damage to a marine environmental system. Thus, an accurate prediction of oil spill is very important to minimize coastal damage due to unexpected oil spill accident. The movement of oil may be represented with a numerical model that solves an advection-diffusion-reaction equation with a proper numerical scheme. In this study, the spilled o...

Detection of radiological accidents and monitoring the spread of the contamination is of great importance. Following the Chernobyl accident many European countries have installed monitoring networks to perform this task. Real-time availability of automatically interpolated maps showing the spread of radioactivity during and after an accident would improve the capability of decision makers to ac...

background and objectives: survival models are statistical technique to estimate or predict the overall time up to specific events. prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. the aim of this study is using parametric models to determine the factors influencing predicted sur...