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Key technologies and engineering practices for soft-rock protective seam mining

International Journal of Mining science and technology 2020年第6期30卷 889-899页

作者： Xiang Cheng Guangming Zhao Yingming Li Xiangrui Meng Qingyi Tu State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China Geological Resources and Geological Engineering Post-Doctoral Flow Station Anhui University of Science and TechnologyHuainan 232001China Post-Doctoral Research Station Huaibei Mining Corporation LimitedHuaibei 235006China

Severe gas disasters in deep mining areas are increasing,and traditional protective coal seam mining is facing significant *** paper proposes an innovative technology using soft rock as the protective seam in the absence of an appropriate coal *** on the geological engineering conditions of the new horizontal first mining area of Luling Coal Mine in Huaibei,China,the impacts of different mining parameters of the soft-rock protective seam on the pressure-relief effect of the protected coal seam were analyzed through numerical *** unit stress of the protected coal seam,which was less than half of the primary rock stress,was used as the mining stress pressure-relief *** optimized interlayer space was found to be 59 m for the first soft-rock working face,with a 2 m mining thickness and 105 m face *** physicochemical characteristics of the orebody were analyzed,and a device selection framework for the soft-rock protective seam was *** equipment for the working face was selected,including the fully-mechanized hydraulic support and coal cutter.A production technology that combined fully-mechanized and blasting-assisted soft-rock mining was *** practices demonstrated that normal circulation operation can be achieved on the working face of the soft-rock protective seam,with an average advancement rate of 1.64 m/*** maximum residual gas pressure and content,which were measured at the cut hole position of the protected coal seams(Nos.8 and 9),decreased to 0.35 MPa and 4.87 m^3/t,*** results suggested that soft-rock protective seam mining can produce a significant gas-control effect.

关键词： Gas outburst hazard Soft-rock protective seam Pressure-relief Three-machine optimization Blasting-assisted mining Gas extraction

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A Tripartite Evolutionary Game Analysis of the Development of New Energy Vehicle Industry Considering Environmental Friendliness under Carbon Tax and Subsidy Policies 25

A Tripartite Evolutionary Game Analysis of the Development o...

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Proceedings of the 2025 4th International Conference on Big Data, Information and computer Network

作者： Yuyan He Fengjun Wang Ji Wu Zhenting Hong Longcheng Huang Xiaoqing Tan School of Economics and Management Guangxi University of Science and Technology Liuzhou Guangxi China Post-doctoral Mobile Research Station Liuzhou High-tech Zone Liuzhou Guangxi China School of Business Administration South China University of Technology Guangzhou Guangdong China School of Economics and Management Guangxi University of Science and Technology Liuzhou Guangxi China School of Computer Science Zhuhai College of Science and Technology Zhuhai Guangdong China Research Institute of Information Technology Tsinghua University Beijing China

ISBN: (纸本)9798400712425

In response to the country's policy of actively promoting the consumption of new energy vehicles and fostering the rapid development of the new energy vehicle industry, a tripartite evolutionary game model involving vehicle manufacturers, consumers, and the government is constructed. At the same time, according to the different subsidy objects, three models of government subsidies, carbon tax, environmental friendliness and other factors are considered. Ultimately, MATLAB software is utilized for numerical simulations to analyze the impact of relevant factors on the strategic choices of the three parties involved in the game. The results indicate that: (1) When subsidies for vehicle manufacturer surpass a certain threshold, it affects the government's strategic decision-making, shifting from an early subsidy strategy to a later non-subsidy strategy. (2) Consumer subsidies are directly proportional to sales of new energy vehicles. Increasing these subsidies can effectively promote the growth of the new energy vehicle industry. (3) When the government subsidizes both vehicle manufacturers and consumers, and the subsidies surpass a certain threshold, the time required for all parties to reach a stable state is shorter compared to subsidizing only vehicle manufacturers. This combination strategy is more conducive to the development of the new energy vehicle industry. (4) Both the environmental friendliness of vehicles and carbon tax policies positively influence the development of the new energy vehicle industry. As the environmental friendliness of vehicles increases, consumers are more likely to purchase new energy vehicles.

关键词： New energy vehicles

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Research on splitting damage characteristics of concrete after different thermal cycles

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Construction and Building Materials 2025年 485卷

作者： Fan, Chaotao Li, Yingming Dong, Chunliang Zhao, Guangming Meng, Xiangrui Wang, Xiangjun State Key Laboratory of Deep Coal Mine Mining Response and Disaster Prevention and Control Anhui University of Science and Technology Huainan232001 China School of Mining Engineering Anhui University of Science and Technology Huainan232001 China School of Mechanics and Optoelectronics Physics Anhui University of Science and Technology Huainan232001 China Mining Engineering Post-Doctoral Flow Station Anhui University of Science and Technology Huainan232000 China

Effects of thermal cycles on the mechanical properties and damage characteristics of concrete under splitting tests were investigated by using digital image correlation (DIC) and acoustic emission (AE) techniques. The quantitative investigation was conducted on damage changes in concrete after thermal cycles. A damage constitutive model based on AE parameters was established. Results show that an appropriate increase in thermal cycles strengthened the tensile strength and tensile modulus of concrete, but the strength decreased and the deformation increased with continuously increased thermal cycles. As thermal cycles increased, ringing counts became more numerous and intensive, accompanied by a greater concentration of damage inside concrete. Concrete specimens underwent the failure evolution process of tensile failure predominantly → mixed failure → shear failure predominantly by analyzing RA (rise time/amplitude)-AF (average frequency) characteristic parameters and macroscopic fracture characteristics. More thermal cycles accelerated the formation of the non-uniform principal strain field and local strain concentration zone on the concrete surface during the loading process. Besides, a continuum damage model using the AE ringing count as a variable was proposed in this paper, which was able to describe the evolution characteristics of various mechanical parameters of concrete treated with different thermal cycles during the deformation and failure process. © 2025 Elsevier Ltd

关键词： Tensile strength

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Intra-class Classification of Architectural Styles Using Visualization of CNN 5th

Intra-class Classification of Architectural Styles Using Vis...

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Wang, Rui Gu, Donghao Wen, Zhaojing Yang, Kai Liu, Shaohui Jiang, Feng School of Computer Science and Technology Harbin Institute of Technology HarbinHeilongjiang China Post-Doctoral Scientific Research Station in Eastern War Area General Hospital Nanjing210000 China Aviation Machinery Department Army Air Force College Beijing101123 China

ISBN: (纸本)9783030242732

The classification of architectural style is one of the most challenging problems in architectural history due to its temporal inter-class relationships between different styles and geographical variation within one style. Previous computer version approaches have primarily focused on general classification of multiple architectural styles based on historical age, but very few studies have attempted deep learning to address intra-class classification problems according to geographical location, which might reveal the significance of local evolution and adaption of ancient architectural style. Therefore, we exemplified gothic architecture as a certain genre and leased a new dataset containing gothic architecture in three different countries: France, England, and Italy. Besides, a trained model is susceptible to overfitting due to fecundity of regional parameters and shortcoming of dataset. In this paper, we propose a new approach to accurately classify intra-class variance in the sense of their geographical locations: visualization of Convolutional Neural Network. Experimentation on this dataset shows that the approach of intra-class classification based on local features achieves high classification rate. We also present interpretable explanations for the results, to illustrate architectural indication of intra-class classification. © 2019, Springer Nature Switzerland AG.

关键词： Visualization

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Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents Using Reinforcement Learning 5th

Playing First-Person-Shooter Games with A3C-Anticipator Netw...

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Sun, Yibo Khan, Adil Yang, Kai Feng, Jiang Liu, Shaohui School of Computer Science Harbin Institute of Technology Harbin150001 China Harbin No. 6 High School HarbinHeilongjiang150001 China Army Air Force College Beijing100000 China Post-Doctoral Scientific Research Station Nanjing General Hospital of Former Nanjing Military Region Nanjing210000 China Department of Computer Science University of Peshawar PeshawarKhyber Pakhtunkhwa Pakistan

ISBN: (纸本)9783030242671

Common built-in bots act upon pre-written scripts to make decisions and actions where sometimes they acquire and take advantage of unfair information, instead of acting flexibly like human players, who make decisions only based on game screens. This paper mainly focuses on studying the applications of deep learning and reinforcement learning in the field of computer game agents. The goal is to create agents that make decisions in human’s way and gets rid of relying on unfair information. A game agent is implemented in line to the A3C algorithm. This agent takes the original real-time game screen as an input to the network and then outputs the corresponding discrete actions. The agent can interact with Viz and read the real-time game screen to make decisions for controlling the characters. This paper made an improvement to the A3C algorithm by adding an anticipator network to the original model structure. The goal of doing this is to make the agent act more like human players. It generates anticipation before making decisions, and then combines the real-time game screen with anticipation images together as an input to the network defined by the A3C algorithm. The result shows, that the A3C algorithm with Anticipation performs better than the original A3C algorithmd. © 2019, Springer Nature Switzerland AG.

关键词： Reinforcement learning

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Trace gas detection based on planar laser QEPAS sensor

Trace gas detection based on planar laser QEPAS sensor

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Applications of Lasers for Sensing and Free Space Communications, LSC 2016

作者： Ma, Yufei He, Ying Zhang, Jingbo Yu, Xin Tittel, Frank K. Sun, Rui National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of Technology Harbin150001 China Department of Electrical and Computer Engineering Rice University 6100 Main Street Houston Texas77005 United States Post-doctoral Mobile Station of Power Engineering and Engineering Thermophysics Harbin Institute of Technology Harbin150001 China

A novel planar laser based QEPAS sensor is realized by using a cylindrical lens to shape laser beam as a planar line. It has the advantages of easier beam alignment and reduction of stability requirement. © OSA 2... 详细信息

ISBN: (纸本)9781943580200

关键词： Laser beams

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Research on Feature Extraction and Clustering of Virtual Learning Community Network Learning

Research on Feature Extraction and Clustering of Virtual Lea...

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International Conference on Information System and Artificial Intelligence (ISAI)

作者： Yan Cheng Jian-Hua Xie Ping-Fei Tan Zhi-Ming Yang College of Computer and Information Engineering Jiangxi Normal University Nanchang China Post doctoral mobile station of computer science and technology Tongji University Shanghai China

ISBN: (纸本)9781509015863

Virtual learning community is a kind of learning environment based on network is a new type of learning organization. However, Virtual Learning Community in the teaching data is often messy, fragmentary, it's value is often difficult to be detected and reasonable to use data mining techniques to deal with data will give us a analysis to study the effect of get twice the result with half the effort. Personalized teaching has always been a difficult point in the network teaching research, and the extraction and analysis of the characteristics of the learner's learning is the basis of personalized teaching. The purpose of this paper is through the acquisition learning in virtual learning community of learning behavior record and analysis learners learning characteristics, through the establishment of learning feature vectors, using fuzzy c-means algorithm for mining learners common characteristics. The common characteristics of individual learners as a research object of the transformation to the learner that clustering center feature vector as the research object, so that learning features simplified. Characteristics similar to the learner to divide into a group, formulated by the relevant experts in the field of practical teaching strategies and learning tasks, for each group are for teaching, personalized teaching, so as to improve the learning efficiency. Development of individualized instruction.

关键词： Education Collaborative work Algorithm design and analysis Clustering algorithms computers Learning (artificial intelligence) Classification algorithms

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Personalized Learning Research on Interest-Driven in Virtual Learning Community

Personalized Learning Research on Interest-Driven in Virtual...

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International Conference on Information System and Artificial Intelligence (ISAI)

作者： Yan Cheng Gui Zeng Wei-Sheng Xu Quan-Yuan Weng College of Computer and Information Engineering Jiangxi Normal University Nanchang China Post doctoral mobile station of computer science and technology Tongji University Shanghai China College of Computer and Information Engineering Jiangxi Normal University Chongqing China College of electronic and information engineering Tongji University Shanghai China

ISBN: (纸本)9781509015863

Traditional classroom teaching is difficult to satisfy students' personalized learning. The main work of the thesis constructs knowledge point model which using relational model and constructs student model according to the students' interest characteristics, it uses improved k-means algorithm to analyze students' learning interest characteristics to dig out the interests of different students, and provide the advice for teaching strategies, so as to meet the demand of students' personalized learning. Ultimately we improve the teaching quality of teachers and students to learn the effect of teaching optimization purposes.

关键词： Education Data mining Data models Indexes Analytical models Clustering algorithms Time-frequency analysis

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Necessary Maximum Principle of Stochastic Optimal Control with Delay and Jump Diffusion

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Communications in Mathematical Research 2014年第3期30卷 245-256页

作者： XING LEI ZHAO PENG-FEI Li Yong College of Basic Sciences Changchun University of Technology Institute of Mathematics Jilin University College of Geoexploration Science and Technology Jilin University Post-doctoral Flow Station of Computer Science and Technology College of Computer Science and TechnologyJilin University Department of Scientific Computing Florida State University

In this paper, we have studied the necessary maximum principle of stochastic optimal control problem with delay and jump diffusion.

关键词： stochastic differential equation jump diffusion delay necessary maximum principle

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Research and development on locomotive HMI display interface

Research and development on locomotive HMI display interface

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4th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2013

作者： Cheng, Zhuo Zheng, Xiang Department of Computer Science and Technology Dalian Neusoft University of Information Dalian China Post-doctoral Mobile Research Station of Control Science and Engineering Dalian University of Technology Dalian China School of Electronics and Information Engineering Dalian Jiaotong University Dalian China

ISBN: (纸本)9781479927913

Locomotive development is one key way to enhance the railway transporting efficiency. Human machine Interface (HMI) of driver cab is to watch the locomotive running status and to operate some key apparatus such as pantograph up and down, isolation, inhibition and so on. In addition, driver can download locomotive event information includes fault type, apparatus working status, system data. HMI needs to communicate and transfer data with Main Process Unit (MPU) by WorldFIP bus. This paper introduces basic HMI structure, WorldFIP communication theory, HMI display and control function. Through the test in the laboratory and locomotive, data can communicate with MPU and graph show and logic control is similar or better than foreign device. © 2013 IEEE.

关键词： Locomotives

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