Xiaoqin Wu, Songrong Qian^*, Ming Yang

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3349-3366, 2023, DOI:10.32604/cmc.2023.043671

Abstract Safety helmets can reduce head injuries from object impacts and lower the probability of safety accidents, as well as being of great significance to construction safety. However, for a variety of reasons, construction workers nowadays may not strictly enforce the rules of wearing safety helmets. In order to strengthen the safety of construction site, the traditional practice is to manage it through methods such as regular inspections by safety officers, but the cost is high and the effect is poor. With the popularization and application of construction site video monitoring, manual video monitoring has been… More >

Kaige Guo, Jin Zhou^*, Xiaoming Zhang, Di Sun^*, Zishuo Wang, Lixian Zhao

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3677-3696, 2023, DOI:10.32604/cmc.2023.038660

Abstract This paper discusses two urgent problems that need to be solved in fully automatic operation (FAO) for urban rail transit. The first is the analysis of safety in FAO, while another is the analysis of efficiency in FAO. Firstly, this paper establishes an operational safety evaluation index system from the perspective of operation for the unique or typical risk sources of the FAO system, and uses the analytic hierarchy process (AHP) to evaluate the indicators, analyzes various factors that affect the safe operation of FAO, and provides safety management recommendations for FAO lines operation to… More >

Hong Sun¹, Fangquan Yang², Peiwen Zhang^3,*, Yang Jiao⁴, Yunxiang Zhao⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2549-2569, 2024, DOI:10.32604/cmes.2023.030131

Abstract With the development of the integration of aviation safety and artificial intelligence, research on the combination of risk assessment and artificial intelligence is particularly important in the field of risk management, but searching for an efficient and accurate risk assessment algorithm has become a challenge for the civil aviation industry. Therefore, an improved risk assessment algorithm (PS-AE-LSTM) based on long short-term memory network (LSTM) with autoencoder (AE) is proposed for the various supervised deep learning algorithms in flight safety that cannot adequately address the problem of the quality on risk level labels. Firstly, based on… More >

Zheng Yan¹, Ying Wang^1,*, Longxiao Chao¹, Jian Guo²

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1077-1102, 2024, DOI:10.32604/cmes.2023.030023

Abstract With the development of economy and society and the growth of population, the high-rise and multi-function of commercial buildings have become an international trend. But it also poses huge fire hazards. Most of the existing studies’ research objects are predominantly high-rise residential buildings, without considering the impact of different functional zones (Standard floor, entertainment zone, office zone, equipment room and so on) and personnel distribution of commercial buildings evacuation. And the influence of using elevators to carry evacuees on the refuge floor on personnel evacuation is rarely studied. In this work, the fire scenario of… More >

Shibo Wu¹, Weidong Chen^1,*, Jingxin Ma², Lan Liu¹, Shengzhuo Lu¹, Honglin Meng¹, Xiquan Song³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1207-1236, 2024, DOI:10.32604/cmes.2023.029471

Abstract Launch safety of explosive charges has become an urgent problem to be solved by all countries in the world as launch situation of ammunition becomes consistently worse. However, the existing numerical models have different defects. This paper formulates an efficient computational model of the combustion of an explosive charge affected by a bottom gap in the launch environment in the context of the material point method. The current temperature is computed accurately from the heat balance equation, and different physical states of the explosive charges are considered through various equations of state. Microcracks in the… More > Graphic Abstract

Feng Shen^1,*, Yang Zhao¹, Bingyi Li¹, Kai Wu²

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 221-243, 2024, DOI:10.32604/cmes.2023.029159

Abstract The calculation of the factor of safety (FOS) is an important means of slope evaluation. This paper proposed an improved double strength reduction method (DRM) to analyze the safety of layered slopes. The physical properties of different soil layers of the slopes are different, so the single coefficient strength reduction method (SRM) is not enough to reflect the actual critical state of the slopes. Considering that the water content of the soil in the natural state is the main factor for the strength of the soil, the attenuation law of shear strength of clayey soil… More >

Xingbang Li^1,#, Xuan Zheng^2,#, Bowen Jin¹, Yunyan Li¹, Yongyu Shao¹, Xiaoxian Deng¹, Dingyang Li¹, Shanshan Li¹, Hongmei Zhou¹, Jie Zhang³, Xianya Zhang⁴, Qunshan Shen¹, Gangcheng Zhang^2,*

Congenital Heart Disease, Vol.18, No.4, pp. 489-489, 2023, DOI:10.32604/chd.2023.031413

Abstract This article has no abstract. More >

Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Wilbur L. Walters, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.5, pp. 1-14, 2023, DOI:10.32604/jai.2023.039786

Abstract Autonomous agents can explore the environment around them when equipped with advanced hardware and software systems that help intelligent agents minimize collisions. These systems are developed under the term Artificial Intelligence (AI) safety. AI safety is essential to provide reliable service to consumers in various fields such as military, education, healthcare, and automotive. This paper presents the design of an AI safety algorithm for safe autonomous navigation using Reinforcement Learning (RL). Machine Learning Agents Toolkit (ML-Agents) was used to train the agent with a proximal policy optimizer algorithm with an intrinsic curiosity module (PPO + ICM). This training… More >

Xingbang Li^1,#, Xuan Zheng^2,#, Bowen Jin¹, Yunyan Li¹, Yongyu Shao¹, Xiaoxian Deng¹, Dingyang Li¹, Shanshan Li¹, Hongmei Zhou¹, Jie Zhang³, Xianya Zhang⁴, Qunshan Shen¹, Gangcheng Zhang^2,*

Congenital Heart Disease, Vol.18, No.3, pp. 373-385, 2023, DOI:10.32604/chd.2023.028979

Abstract Background: Transcatheter closure of patent foramen ovale (PFO) has been widely accepted as a highly effective way to treat high-risk PFO-related diseases. However, traditional non-degradable occluders made of metal alloys will permanently exist in the body, resulting in thrombosis, valve damage, hemolysis, arrhythmia, or other complications. The biodegradable PFO occluder developed by Shanghai Mallow Medical Instrument Co., Ltd., China can be fully absorbed and degrade into nontoxic ingredients, reducing postoperative complications. Objectives: To study the safety and efficacy of biodegradable PFO occluders in treating PFO. Methods: This single-center clinical trial collected 30 patients treated with a More > Graphic Abstract

Henry P. Foote¹, Huali Wu², Stephen J. Balevic^1,2, Elizabeth J. Thompson^1,2, Kevin D. Hill^1,2, Eric M. Graham³, Christoph P. Hornik^1,2, Karan R. Kumar^1,2,*

Congenital Heart Disease, Vol.18, No.3, pp. 295-313, 2023, DOI:10.32604/chd.2023.026262

Abstract Background: Infants undergoing cardiac surgery with cardiopulmonary bypass (CPB) frequently receive intra-operative methylprednisolone (MP) to suppress CPB-related inflammation; however, the optimal dosing strategy and efficacy of MP remain unclear. Methods: We retrospectively analyzed all infants under 90 days-old who received intra-operative MP for cardiac surgery with CPB from 2014–2017 at our institution. We combined real-world dosing data from the electronic health record (EHR) and two previously developed population pharmacokinetic/pharmacodynamic models to simulate peak concentration (Cmax) and area under the concentration-time curve for 24 h (AUC24) for MP and the inflammatory cytokines interleukin-6 (IL-6) and interleukin-10… More > Graphic Abstract