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Articles 4471 - 4500 of 714653
Full-Text Articles in Entire DC Network
Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang
Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang
Journal of System Simulation
This paper conducted a dynamic analysis on a seven-link mechanism suitable for a hybriddriven press, simultaneously considering lubrication clearances, interval parameters, and link flexibility. Based on the Lagrange equations of the first kind, the dynamic equations of the flexible mechanism with lubrication clearances under deterministic parameters were established; interval variables were introduced to establish a dynamic model considering interval parameters, and the Chebyshev interval algorithm and the Runge - Kutta method were used to solve the response interval curves of interval parameters such as clearances value, dynamic viscosity, and cross-sectional area. The results show that compared with the results under …
Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang
Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang
Journal of System Simulation
The vehicle mass variation during the operation of buses affects power demand of the vehicle, which can result in poor performance of energy management strategies. To this end, a hybrid electric bus energy management strategy based on proximal policy optimization-adaptive simulated annealing (PPOASA) is proposed. ASA is introduced into PPO to perturb policy parameters according to policy entropy before the policy update, and the perturbed policies are adaptively accepted or rejected by employing the Metropolis criterion, thus improving the exploration capability of the policy and convergence stability. Experimental results show that the proposed method outperforms the charge depleting-charge sustaining (CD-CS) …
Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao
Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao
Journal of System Simulation
A two-stage calibration and optimization method is proposed to address the problem that parameter calibration methods for microscopic traffic simulation models are time-consuming. In the first stage, a surrogate model based on neural networks is trained to establish the mapping relationship between model parameters and evaluation indicators, and a genetic algorithm (GA) is combined to screen candidate parameters. In the second stage, after obtaining the approximate optimal parameters, by employing this set of parameters as initial values, a genetic algorithm is re-executed by combining the real simulation model for optimization to further improve calibration accuracy. Experimental results show that the …
Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang
Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang
Journal of System Simulation
To address the fixation offset problem caused by head movement in music solfeggio teaching simulation and the lack of system-level simulation validation in existing methods, this paper proposed a fixation accuracy optimization method integrating image semantic understanding, temporal trajectory modeling, and solfeggio cognitive simulation. With Vision Transformer as the core, after preprocessing via Mahalanobis distance, sliding window, and region of interest, position offset perception, offset residual regression, and dual-pathway fusion were introduced to achieve offset modeling and correction under unlabeled conditions. Simulation results indicate that the error of this method decreases by 43.9% compared with the original value error; removing …
Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan
Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan
Coal Geology & Exploration
Background Deep coal mining is facing increasingly complex hidden disaster-causing factors, including faults, collapse columns, water accumulation in goaves, confined water in coal seam floors, and hydraulically conductive fracture zones. In this context, conventional modes based on ground exploration, roadway geophysical exploration, and drilling verification suffer from limitations in terms of detection distance, positioning accuracy, dynamic perception, and real-time feedback. In contrast, borehole geophysical exploration extends the detection space into coal-rock masses using underground boreholes, enabling the acquisition of information about continuous physical properties around, between, and ahead of boreholes. Therefore, this technology provides important support for the advance detection …
Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun
Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun
Coal Geology & Exploration
Background Intelligent coal mine construction represents an important measure to promote the high-quality development of the coal industry. Developing intelligent technologies and equipment for geological exploration is the key to both transparent geological guarantee and the efficient prevention and control of major disasters in coal mines. Advances This study presents a systematic analysis of the latest advances in intelligent technologies and equipment for underground geological exploration of coal mines in China, focusing on intelligent drilling and geophysical prospecting. In terms of intelligent drilling, this study introduces intelligent drilling rigs equipped with multiple functions, including adaptive control, remote monitoring, and fault …
Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua
Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua
Coal Geology & Exploration
Objective In China, deep coal resources hold considerable potential, exhibiting promising prospects for exploitation and utilization. Therefore, gaining a clear understanding of deep coal resources provides a prerequisite and foundation for both the national strategic planning of coal resources and the scientific development and utilization of deep coal resources. Research Thinking From the perspective of the current situation of coal resources in China, this study determined the occurrence characteristics and categories of deep coal resources. Accordingly, it proposed a philosophy and workflow for predicting the resources, followed by the prediction of deep coal resources in the Carboniferous-Permian strata of the …
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Coal Geology & Exploration
Background The dynamic metamorphism of coals, a significant type of coal metamorphism, represents a fundamental research topic of coal geology. The research achievements have been widely applied in fields such as coal resource evaluation, the prevention and control of coal mine gas, and the exploration and exploitation of coalbed methane (CBM), holding great significance for gaining a deep understanding of the microscopic mechanisms underlying coal deformation and metamorphism, coal and gas outbursts, and CBM occurrence. Method Based on a literature survey and analysis, this study presents a systematic review of the development history of research on the dynamic metamorphism of …
Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai
Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai
Coal Geology & Exploration
Objective The upper and middle reaches of the Yellow River basin represent significant coal bases of China, while burnt rocks formed by the high temperature of coal fires greatly affect the safe and green coal mining in this region. Therefore, investigating the distribution patterns and geological genetic mechanisms of burnt rocks in this region is of great scientific significance and practical value. Methods This study systematically investigated the distribution range and patterns of burnt rocks in the upper and middle reaches of the Yellow River basin. Using analysis of geological processes, this study explored the geological genetic mechanisms and primary …
Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan
Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan
Coal Geology & Exploration
Objective In some mining areas of North China-type coalfields, large volumes of high-salinity mine water produced during coal mining pose dual challenges: high treatment costs to meet discharge standards and the waste of mine water resources due to inefficient utilization before discharge. In recent years, the deep reinjection and storage technology for high-salinity mine water has provided a new approach to this issue. To achieve this technology, it is essential to understand the flow field evolution during mine water reinjection and address reinjection-induced safety problems. Methods This study investigated coal mine A in Jiangsu Province as an example. Using the …
Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo
Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo
Coal Geology & Exploration
Background Using directional boreholes, the borehole transient electromagnetic (TEM) method enables near-field excitation and the simultaneous reception of three components within a borehole. This method can effectively avoid interference from ferromagnetic materials in roadways, thereby significantly enhancing the detection accuracy and range. Therefore, this method is widely applied to the detection of underground concealed water hazards in coal mines. However, there is a conflict between the accuracy and efficiency of current inversion methods for borehole TEM data, and existing technologies are insufficient to simultaneously meet the demands for high efficiency and high precision in the detection of concealed water hazards. …
Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen
Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen
Coal Geology & Exploration
Background In coal mines, underground intelligent drilling rigs serve as critical equipment for gas extraction and water hazard prevention and control. With increasing mining depth, extreme operating conditions, including elevated gas concentration and high in situ stress, pose challenges to conventional drilling modes. Progress This study presents a systematic review of the evolutionary history of intelligent drilling rigs in China from the 13th to the 14th Five-Year Plan, dividing it into three stages: semi-automated operation, whole-process automated operation, and initial intelligent drilling. In the semi-automated operation stage, technologies for remote control within a viewing distance and automatic loading and unloading …
Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan
Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan
Coal Geology & Exploration
Objective Against the background of intelligent coal mining, automated underground rock bolting has become a core demand in enhancing the tunneling efficiency and safety of roadways. However, the path planning of drilling arms suffers from a low degree of automation, cumbersome posture adjustment, low operational stability, and insufficient drilling accuracy in complex underground environments. Methods To address these issues, this study developed an intelligent path planning method for drilling arms in rock bolting in coal mines based on an improved rapidly-exploring random tree (RRT) algorithm. First, a goal-biased guidance strategy was adopted to narrow the sampling range, and an update …
Internal Neutrosophic Spiral Dynamics: Connecting Human Neutrosophic Evolution With The Law Of Internal Breakdown Of Dynamic Systems, Florentin Smarandache, Andrusa R. Vatuiu
Internal Neutrosophic Spiral Dynamics: Connecting Human Neutrosophic Evolution With The Law Of Internal Breakdown Of Dynamic Systems, Florentin Smarandache, Andrusa R. Vatuiu
Neutrosophic Sets and Systems
No abstract provided.
An Approach To Bilevel Multi-Objective Linear Fractional Probabilistic Optimization In Neutrosophic Environments With Applications, Agegnehu Tesfaye Janka, Demmelash Mollalign Moges, Berhanu Guta Wordofa
An Approach To Bilevel Multi-Objective Linear Fractional Probabilistic Optimization In Neutrosophic Environments With Applications, Agegnehu Tesfaye Janka, Demmelash Mollalign Moges, Berhanu Guta Wordofa
Neutrosophic Sets and Systems
No abstract provided.
Neutrosemigroups Generated By Upside-Down Logic, Aykut Emniyet, Memet S¸Ahin
Neutrosemigroups Generated By Upside-Down Logic, Aykut Emniyet, Memet S¸Ahin
Neutrosophic Sets and Systems
No abstract provided.
The Domain Of A Neutrosophic Metric Spaces Of Tribonacci Matrix Defined By Triple Sequence Spaces, Kavipriya Arumugam, Srikanth Raghavendran, Subramanian Nagarajan
The Domain Of A Neutrosophic Metric Spaces Of Tribonacci Matrix Defined By Triple Sequence Spaces, Kavipriya Arumugam, Srikanth Raghavendran, Subramanian Nagarajan
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Estimation Of Population Variance Using Two Auxiliary Variables In Simple Random Sampling, Anoop Kumar, Priya Priya, Vrijesh Tripathi, Ravinder Singh
Neutrosophic Estimation Of Population Variance Using Two Auxiliary Variables In Simple Random Sampling, Anoop Kumar, Priya Priya, Vrijesh Tripathi, Ravinder Singh
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Temperaments And Personality Evolution: A Conceptual Framework Of Evolution, Indeterminacy And Involution, Akbar Jadidi Mohammadabadi, Akbar Rezaei, Florentin Smarandache
Neutrosophic Temperaments And Personality Evolution: A Conceptual Framework Of Evolution, Indeterminacy And Involution, Akbar Jadidi Mohammadabadi, Akbar Rezaei, Florentin Smarandache
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic N-Structures On Sheffer Stroke Bg-Algebras, Tahsin Oner, Neelamegarajan Rajesh, Akbar Rezaei, Ibrahim Senturk
Neutrosophic N-Structures On Sheffer Stroke Bg-Algebras, Tahsin Oner, Neelamegarajan Rajesh, Akbar Rezaei, Ibrahim Senturk
Neutrosophic Sets and Systems
No abstract provided.
A Customer-Driven Supplier Evaluation Model Under Indeterminacy For Customizated Production, Çağrı Kuram, Özge Nalan Bi̇li̇şi̇k
A Customer-Driven Supplier Evaluation Model Under Indeterminacy For Customizated Production, Çağrı Kuram, Özge Nalan Bi̇li̇şi̇k
Neutrosophic Sets and Systems
No abstract provided.
A Linguistic Neutrosophic Topsis Framework For Sustainable Biomass Composite Selection, Kathirvel Ayyaswamy, Rajendra Thilahar Chelladurai, Gobinath Vellapalayam Manoharan
A Linguistic Neutrosophic Topsis Framework For Sustainable Biomass Composite Selection, Kathirvel Ayyaswamy, Rajendra Thilahar Chelladurai, Gobinath Vellapalayam Manoharan
Neutrosophic Sets and Systems
No abstract provided.
Foundations Of Neutrosophic N-Semirings Theory And Structural Properties, Raja Muhammad Hashim, Muhammad Gulistan, Muhammad Shahzad
Foundations Of Neutrosophic N-Semirings Theory And Structural Properties, Raja Muhammad Hashim, Muhammad Gulistan, Muhammad Shahzad
Neutrosophic Sets and Systems
No abstract provided.
(T, I, N, F) Neutrosophic Weak And Strong Paraconsistency And The Epistemics Of Artificial Intelligence: Uncertainty, Pluralism, And The Decolonial Turn In Alignment, Florentin Smarandache, Maikel Y. Leyva-Vázquez
(T, I, N, F) Neutrosophic Weak And Strong Paraconsistency And The Epistemics Of Artificial Intelligence: Uncertainty, Pluralism, And The Decolonial Turn In Alignment, Florentin Smarandache, Maikel Y. Leyva-Vázquez
Neutrosophic Sets and Systems
No abstract provided.
Structured Neutrosophic Sets With Entropy-Derived Indeterminacy: Injectivity, Stability, And Aggregation Guarantees For Variability-Sensitive Mcdm, Janak Raj Amit Kumar, I. Paulraj Jayasimman
Structured Neutrosophic Sets With Entropy-Derived Indeterminacy: Injectivity, Stability, And Aggregation Guarantees For Variability-Sensitive Mcdm, Janak Raj Amit Kumar, I. Paulraj Jayasimman
Neutrosophic Sets and Systems
No abstract provided.
The Percentage Fallacy And A Single-Valued Neutrosophic Framework For Indeterminacy In Ai Detector Verdicts On Academic Authorship, Oscar Caicedo-Camposano, Mayra Jara-Sen San, César Caicedo-Camposano, Ariana Cruz-Posligua, Maikel Leyva-Vázquez
The Percentage Fallacy And A Single-Valued Neutrosophic Framework For Indeterminacy In Ai Detector Verdicts On Academic Authorship, Oscar Caicedo-Camposano, Mayra Jara-Sen San, César Caicedo-Camposano, Ariana Cruz-Posligua, Maikel Leyva-Vázquez
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic-Based Optimization Algorithm: A Novel Metaheuristic Algorithm For Global Optimization, Sara Hasan, Reda Ahmed
Neutrosophic-Based Optimization Algorithm: A Novel Metaheuristic Algorithm For Global Optimization, Sara Hasan, Reda Ahmed
Neutrosophic Sets and Systems
No abstract provided.
Pythagorean Neutrosophic Dematel And Ahp For Water Security Evaluation, Noor Azzah Awang, Norliana Mohd Najib, Norsyahida Zulkifli, Muhammad Saeed, Lazim Abdullah
Pythagorean Neutrosophic Dematel And Ahp For Water Security Evaluation, Noor Azzah Awang, Norliana Mohd Najib, Norsyahida Zulkifli, Muhammad Saeed, Lazim Abdullah
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Selective Separability, Giorgio Nordo, Lorenzo Aff`, Florentin Smarandache
Neutrosophic Selective Separability, Giorgio Nordo, Lorenzo Aff`, Florentin Smarandache
Neutrosophic Sets and Systems
No abstract provided.
Plithogenic Quasigroups With Application To Decision Making, Anthony Oyem, Ewaen Kelly Osawaru
Plithogenic Quasigroups With Application To Decision Making, Anthony Oyem, Ewaen Kelly Osawaru
Neutrosophic Sets and Systems
No abstract provided.