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- research-articleJune 2024
Exploring the Role of Big Data Analytics on Engineering Costs
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 960–964https://doi.org/10.1145/3656766.3656925Big data analytics has had a significant impact on various industries as a technology that is still in its infancy. The engineering sector is no exception, and big data analytics is becoming increasingly important in improving engineering costs' accuracy ...
- research-articleJune 2024
COVID-19 Risk Analysis Based on Population Migration Big Data: A Case Study of Wuhan
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 940–946https://doi.org/10.1145/3656766.3656922Population movement between regions is one of the main ways for the spread of COVID-19. The Chinese government has adopted unprecedented population movement controls to restrain the spread of COVID-19. With the development of information society, the ...
- research-articleJune 2024
Rapid location technology of power grid around airport based on three-dimensional visualization of clearance area and GIS
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 935–939https://doi.org/10.1145/3656766.3656921Aiming at the problem that the risk coefficient of power grid load is too high in the existing methods for power grid location, in order to improve the safety of power grid operation around the airport, a rapid location technology of power grid around ...
- research-articleJune 2024
Research on the Application of Data Governance and Road Network Situation Assessment Technology in Smart Highway
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 883–890https://doi.org/10.1145/3656766.3656912While they brought about significant reforms in traffic data collection, traffic planning management, and traffic flow prediction, the problem of massive data synergy has also become increasingly prominent. This paper explores the data governance and ...
- research-articleJune 2024
Considering Safety Risk Prediction and Prevention and Control under the Influence of Heterogeneous Pedestrian Emotions
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 750–755https://doi.org/10.1145/3656766.3656891Dense and complex crowds are prone to overcrowding and trampling accidents when traveling through a narrow throughway, and it is of practical interest to study the simulation of crowd evacuation under the influence of emotions in a narrow throughway. In ...
- research-articleJune 2024
A Study of Risk Assessment and Avoidance Strategies in Supplier Introduction
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 705–713https://doi.org/10.1145/3656766.3656884We explore the optimal decision-making of a repurchase contract coordinated supply chain under stochastic price conditions with asymmetric cost-of-sale information and risk aversion of suppliers. A new repurchase contract model is constructed on the ...
- research-articleJune 2024
Risk assessment of tanker washing based on AHP-risk matrix method
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 674–680https://doi.org/10.1145/3656766.3656879With the increasing prosperity of maritime transport, the tank cleaning process is particularly important. In order to reduce the probability of accidents caused by ship cleaning and improve the safety, this paper applies the analytic Hierarchy process (...
- research-articleJune 2024
Supply chain innovation paths and resilience management under sudden social public events: a meta-analysis
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 637–643https://doi.org/10.1145/3656766.3656873In the context of frequent social emergencies, more and more enterprises are actively exploring the innovation path and resilience management of supply chain driven by strong realistic needs, but there is no consistent conclusion on the relationship ...
- research-articleJune 2024
Design of early warning model of electricity charge recovery risk based on clustering data cleaning
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 594–598https://doi.org/10.1145/3656766.3656866In order to further improve the effect of electricity fee recovery risk early warning, this study designed a new electricity fee recovery risk early warning model based on clustering data cleaning. Based on the clustering data cleaning algorithm, ...
- research-articleJune 2024
Pilot free trade zones and investment efficiency——A study based on double machine learning and staggered DID
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 539–545https://doi.org/10.1145/3656766.3656858Based on the exogenous shock event of the establishment of the Pilot Free Trade Zone (FTZ), this paper takes the data of China's A-share listed companies from 2012 to 2022 as a sample, and further empirically tests whether the FTZ policy can inhibit the ...
- research-articleJune 2024
Development and design of Hainan extreme weather power training based on VR technology
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 524–528https://doi.org/10.1145/3656766.3656855In view of the possible typhoon, fire and earthquake in Hainan, this paper focuses on the research of VR power training project based on extreme weather. First, the potential impact of extreme weather on the power system in Hainan is described, and a ...
- research-articleJune 2024
Research on Adaptive Information Behaviors of Elderly Users under the Perspectives of Technology Acceptance and Emotional Perception——Taking the mini programs of WeChat and Alipay as an example
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 498–508https://doi.org/10.1145/3656766.3656852In order to improve the efficiency of older users' use of information systems and to motivate them to learn and explore the different functions of information systems, research on the adaptive information behaviors of older users is needed. This paper ...
- research-articleJune 2024
Research on cooperative game mechanism and profit distribution of agricultural supply chain under information symmetry
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 464–469https://doi.org/10.1145/3656766.3656845In the cooperation of agricultural supply chain, due to the asymmetric information of production and marketing, the profit distribution among supply chain subjects often appears "high in the middle and low at both ends". With the development of the new ...
- research-articleJune 2024
Forecasting Cargo Throughput of Xiamen Port Based on Grey-Markov Model
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 458–463https://doi.org/10.1145/3656766.3656844In an effort to better estimate the cargo throughput of Xiamen Port, a grey Markov prediction model was created. Relevant data of Xiamen Port from 2006 to 2022 were selected for prediction, and the predicted values were firstly derived using the DGM (2, ...
- research-articleJune 2024
GPT Method Based Traffic Anomaly Detection for Space-ground Integrated Network
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 452–457https://doi.org/10.1145/3656766.3656843The Space-ground integrated network consists of deep space network, space network and ground network. The ground network is vulnerable to network attacks due to its complex networking structure, high randomness of device access, limited node processing ...
- research-articleJune 2024
Data-driven Fuel Flow Prediction Model for Aircraft Engines
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 279–283https://doi.org/10.1145/3656766.3656814This paper presents a novel approach to predict fuel flow during the climb phase in aviation, a critical stage where fuel consumption is significantly high. Utilizing advanced machine learning algorithms, notably the XGBoost regression model, we ...
- research-articleJune 2024
Design and Implementation of Secure Hash Function Based on Parallel Structure
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 225–230https://doi.org/10.1145/3656766.3656805In this paper, a secure hash function (PS-SHF) based on the parallel structure is proposed. By designing the initialization of the link variables of the hash function, introducing logistic chaos mapping, and the design of the parallel structure, a more ...
- research-articleJune 2024
Decoding Elevator Accidents: Insights from Trajectory Intersection Theory
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 16–21https://doi.org/10.1145/3656766.3656770Elevator-related accidents, though infrequent, can have severe consequences. To comprehend and mitigate the underlying causes, this research delves deep into the realm of the Trajectory Intersection Theory. By systematically analyzing national safety ...
- research-articleJune 2024
Research on Prediction Method of Auto Insurance Claim Amount Based on Graph Deep Learning
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk ManagementPages 1–9https://doi.org/10.1145/3656766.3656767The number of autos in China has surpassed 312 million, and automotive insurance is the most important part of property insurance. A win-win scenario for policyholders and property insurance firms may be achieved by precisely predicting the amount of ...