The induction heating technique is generally used in biomedical, steel melting, and welding industries due to its higher heating efficiency. This technique is applied to heat-conductive materials having a nonlinear be...
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The problem of hypoxia at high altitude is particularly prominent, which has caused great difficulties in the development of mineral resources in high altitude areas. Artificial oxygenation is one of the most effectiv...
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ISBN:
(纸本)9781510655201;9781510655195
The problem of hypoxia at high altitude is particularly prominent, which has caused great difficulties in the development of mineral resources in high altitude areas. Artificial oxygenation is one of the most effective technologies to solve hypoxia at high altitude at present, so it is urgent of setting oxygen supply and ventilation parameters and studying the law of oxygen diffusion. This paper adopts the method of combining field experiment and simulation research to study the law of oxygen diffusion, and to carry out the optimization of local artificial oxygenation technology in metal *** results show that when the particle size of the smoke sample is smaller, the effective diffusion coefficient at the initial time is larger, which has higher precision and efficiency under the same pressure.
Based on the finite element analysis software, numerical simulations are carried out for the heat pipe embedded in the enclosure. Firstly, a CFD model is developed for a two-phase heat siphon heat pipe with unidirecti...
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ISBN:
(纸本)9781510655201;9781510655195
Based on the finite element analysis software, numerical simulations are carried out for the heat pipe embedded in the enclosure. Firstly, a CFD model is developed for a two-phase heat siphon heat pipe with unidirectional heat transfer function, and the experimental condition of liquid filling rate of 0.6 is used to obtain the internal phase distribution clouds of the heat pipe under four different heat flow density conditions The simulation of the evaporative section is consistent with the visualization experiment, and the VOF model is able to describe the gas-liquid separation and bubble aggregation phenomena realistically and accurately. Finally, the practical application prospects of the enclosure structure and the shortcomings of the research are pointed out.
The paper proposes a novel approach of survival transformers and extreme gradient boosting models in predicting cognitive deterioration in individuals with mild cognitive impairment (MCI) using metabolomics data in th...
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ISBN:
(纸本)9783031723520;9783031723537
The paper proposes a novel approach of survival transformers and extreme gradient boosting models in predicting cognitive deterioration in individuals with mild cognitive impairment (MCI) using metabolomics data in the ADNI cohort. By leveraging advanced machine learning and transformer-based techniques applied in survival analysis, the proposed approach highlights the potential of these techniques for more accurate early detection and intervention in Alzheimer's dementia disease. This research also underscores the importance of non-invasive biomarkers and innovative modelling tools in enhancing the accuracy of dementia risk assessments, offering new avenues for clinical practice and patient care. A comprehensive Monte Carlo simulation procedure consisting of 100 repetitions of a nested cross-validation in which models were trained and evaluated, indicates that the survival machine learning models based on Transformer and XGBoost achieved the highest mean C-index performances, namely 0.85 and 0.8, respectively, and that they are superior to the conventional survival analysis Cox Proportional Hazards model which achieved a mean C-Index of 0.77. Moreover, based on the standard deviations of the C-Index performances obtained in the Monte Carlo simulation, we established that both survival machine learning models above are more stable than the conventional statistical model.
In order to realize the simulation of the damage effectiveness of air defense projectiles against air targets, this paper uses the C++ programming language to complete the development of ammunition air damage simulati...
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This paper is focused on uncertain fractional order systems. In this context, a new modelling approach of uncertain fractional order systems represented by an explicit fractional order interval transfer function is pr...
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For scenes with high complexity and deep control depth, the traditional 3D digital twin model can no longer play a guiding role. This paper adopts the embedded Cyber-Physical Fusion System (CPS) for seamless integrati...
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ISBN:
(纸本)9781510655201;9781510655195
For scenes with high complexity and deep control depth, the traditional 3D digital twin model can no longer play a guiding role. This paper adopts the embedded Cyber-Physical Fusion System (CPS) for seamless integration and synchronization, and uses the twin support vector machine algorithm to design a multi-mode intelligent storage and retrieval system in automated three-dimensional warehouses. The experimental research proves that the paper proposes an intelligent storage and retrieval system for logistics automatic warehousing, and combines the experiments to prove the feasibility of the system.
Ammonia is a chemical widely used in the industrial production, but the leakage during storage and transportation can lead to serious health and environmental risks. This paper investigates the ammonia leakage diffusi...
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The proceedings contain 48 papers. The topics discussed include: an inverse source problem for a one-dimensional time-space fractional diffusion equation;a novel definition of fuzzy difference on non-increasing fuzzy ...
The proceedings contain 48 papers. The topics discussed include: an inverse source problem for a one-dimensional time-space fractional diffusion equation;a novel definition of fuzzy difference on non-increasing fuzzy real numbers;fast numerical solution of a kind of nonlinear integral equations—Dyson-Schwinger equations for quark propagator in hadron physics;numerical solution of backward problem of a multi-term time-space fractional diffusion equation;research on applicability and efficient construction with typical surrogate models;estimation of a partial linear model with instrumental variable for the longitudinal data;smooth transition of safety controllers filtered by control barrier functions;quantile-based clustering for functional data via modelling functional principal components scores;and global topology concept neighborhood graph and its application in topological similarity measurement.
The proceedings contain 36 papers. The topics discussed include: urban train timetable optimization based on multi-objective optimization;intelligent recognition and detection method for facial posture of motor vehicl...
ISBN:
(纸本)9781643685205
The proceedings contain 36 papers. The topics discussed include: urban train timetable optimization based on multi-objective optimization;intelligent recognition and detection method for facial posture of motor vehicle drivers based on computer vision;multi-directional traffic flow fusion analysis and modelling for urban road networks serving intelligent transportation systems;research on anti-skid-rotation control strategy of dual-motor four-wheel-drive electric vehicle drive;logistics distribution path optimization and application based on swarm intelligence optimization algorithm;research on bus priority method for induction coordination;construction of smart transportation city system based on digital twins;a neural network-based model for predicting the accessibility of mountainous highways;and semi-physical operation simulation system of high-speed maglev traffic.
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