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Abstract

In order to solve the problem of large error of delay estimation in low SNR environment, a new delay estimation method based on cross power spectral frequency domain weighting and spectrum subtraction is proposed. Through theoretical analysis and MATLAB simulation, among the four common weighting functions, it is proved that the cross-power spectral phase weighting method has a good sharpening effect on the peak value of the cross-correlation function, and it is verified that the improved spectral subtraction method generally has a good noise reduction effect under different SNR environments. Finally, the joint simulation results of the whole algorithm show that the combination of spectrum subtraction and crosspower spectrum phase method can effectively sharpen the peak value of cross-correlation function and improve the accuracy of time delay estimation in the low SNR environment. The results of this paper can provide useful help for sound source localization in complex environments.

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Authors and Affiliations

Feng Bin
Xu Lei
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Abstract

Compared with traditional cellular networks, wireless ad hoc networks do not have trusted entities such as routers, since every node in the network is expected to participate in the routing function. Therefore, routing protocols need to be specifically designed for wireless ad hoc networks. In this work, we propose an authenticated routing protocol based on small world model (ARSW). With the idea originating from the small world theory, the operation of the protocol we proposed is simple and flexible. Our simulation results show the proposed ARSW not only increases packet delivery ratio, but also reduces packet delivery delay. In particularly, Using authentication theory, the proposed ARSW improves communication security.
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Bibliography

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[2] Jorge E. O. T., Molina J. L. B., Miguel A. S. L. Simulation and evaluation of ad hoc networks under different mobility models. Ingeniería E Investigación, 23(3): 44-50, 2003.
[3] Tianbo L., Hao C. Anonymous routing protocols for mobile ad-hoc networks. International Journal of Security and its Applications, 10(4): 229-240, 2016.
[4] Banala R., Sakthivel M. A review on delay-minimized routing protocol in mobile cognitive ad hoc networks. International Journal of Computer Sciences & Engineering, 6(7): 991-996, 2018.
[5] Prabhavat S. , Narongkhachavana W. , Thongthavorn T. , et al. Low Overhead Localized Routing in Mobile Ad Hoc Networks. Wireless Communications & Mobile Computing, 2019, 6(4): 1-15.
[6] Shanmugasundaram D. , Shanavas A. R. M. Avoidance Cosmic Dust implementing in Ad Hoc on-demand Distance Vector (CDA AODV) Routing Protocol [J]. International Journal of Computer Sciences & Engineering, 2019, 7(4): 995-1005.
[7] Kothandaraman D., Chellappan C., . Energy Efficient Node Rank-Based Routing Algorithm in Mobile Ad-Hoc Networks. International Journal of Computer Networks & Communications, 2019, 11(1):45-61.
[8] Shanmugasundaram D., Shanavas A. R. M. . Avoidance Cosmic Dust implementing in Ad Hoc on-demand Distance Vector (CDA AODV) Routing Protocol. International Journal of Computer Sciences & Engineering, 2019, 7(4):995-1005.
[9] Kim, C., Talipov, E., & Ahn, B. A reverse aodv routing protocol in ad hoc mobile networks. Lecture Notes in Computer Science, pp. 522-531. 2016.
[10] Navjot K., Ashok K., & Daviet J. (2011). Comparison and analysis of RREQ and RREP for dynamic wireless network. Indian Journal of Computer Science & Engineering, 2(3), 73-78, 2011.
[11] Kargl F., Schlott S. & Weber M. (2004). Securing ad hoc routing protocols, Proceedings. 30th Euromicro Conference, 2004., Rennes, France, pp. 514-519.
[12] Kumar S., Dhull K., Sharma D., et al. Evaluation of AODV and DYMO Routing Protocol using Generic, Micaz and Micamotes Energy Conservation Models in AWSN with Static and Mobile Scenario [J]. Scalable Computing, 2019, 20(4):653-661.
[13] Watts D.J. & Strogatz S.H. (1998), Collective dynamics of ‘small-world’ networks, Nature, 1998, 393(6684): 440–442.
[14] Qin Y , Guo D , Luo L , et al. Design and optimization of VLC based small-world data centers [J]. Frontiers of Computer Science in China, 2019, 13(5):1034-1047.
[15] Qiu T.p, Liu X., Li K., et al. Community-Aware Data Propagation with Small World Feature for Internet of Vehicles [J]. IEEE Communications Magazine, 2018, 56(1):86-91.
[16] Reka A., Hawoong J., & Albert-Laszlo B. Error and attack tolerance of complex networks. Nature. 406(6794):378-382, 2004.
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[18] Zhang, J. & Elkashlan M., A small world network model for energy efficient wireless networks, IEEE Communication. Lett., 17(10): 1928–1931, 2013.
[19] Zarepour, M., Universal and non-universal neural dynamics on small world connectomes: A finite-size scaling analysis. Physical Review E. 100 (5): 52138, 2019.
[20] Tefan G. Small directed strongly regular graphs. Algebra Colloquium, 27(1), 11-30, 2020.
[21] Zhang L. & Tang Y. Research on the method of improving network security based on small world model. 40(13):136-139, 2005.
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[25] Li Yong, Li Wei, Zhao Weiquan, Optimization for Dynamic Source Routing Based on the Small-world Theory [J], Computer Engineering, 2005 (9):102-104.
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Authors and Affiliations

Daxing Wang
1
Leying Xu
1

  1. College of Mathematics and Finance, Chuzhou University
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Abstract

The fracture and fragmentation of concrete under static and dynamic loads are studied. The uniaxial compressive strength test is employed to study the concrete behavior under static loads while the split Hopkinson pressure bar is used to study the dynamic behavior of the concrete under static loads. The theories for acquiring the stress, strain and strain rate of the concrete in the dynamic test by Hopkinson pressure bar has been introduced. The fracture patterns of the concrete in the uniaxial compressive test have been obtained and the static concrete compressive strengths have been calculated. The fracture patterns of the concrete in the uniaxial compressive test have been obtained and the static concrete compressive strengths have been calculated. The fracture and fragmentation of the specimen under dynamic loads have been acquired and the stress-strain curves of concrete under various impact loads are obtained. The stress-strain curve indicates a typical brittle material failure process which includes existing micro-fracture closure stage, linear-elastic stage, nonlinear-elastic stage, and post-failure stages. The influence of the loading rate for the compressive strength of the concrete has compared. Compared with the concrete under static loads, the dynamic loads can produce more fractures and fragments. The concrete strength is influenced by the strain rate and the strength increases almost linearly with the increase of the strain rate.

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Authors and Affiliations

Huaming An
ORCID: ORCID
Lei Liu
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Abstract

Accumulation of LaCl3, a well-known Ca2+-channel blocker, can inhibit plant growth. However, the current understanding of its effects on gene expression is limited. In this paper, different concentrations of LaCl3 (0, 0.5, 1.0, 1.5, 2.0 mM) were used to treat germinated wheat ( Triticum aestivum L.) seeds for 24 h. The degree of root growth inhibition gradually increased with increasing LaCl3 concentration. qRT-PCR analysis revealed that the expression of several key genes related to the cell cycle process, such as pcna, mcm2, rdr and cyclin B, were significantly down-regulated. Further analysis of genomic DNA instability using Random Amplified Polymorphic DNA (RAPD) and methylation levels by Coupled Restriction Enzyme Digestion-Random Amplification (CRED-RA) analysis indicated a significant increase in genomic DNA polymorphisms and methylation levels. The results of this study verified that the reasons why LaCl3 treatment can inhibit the growth of wheat roots are as follows: interference in the normal progression of the cell cycle, induction of genomic DNA instability and increase in DNA methylation levels.
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Authors and Affiliations

Xia Lei
1
Keshi Ma
2
Feixiong Zhang
1

  1. College of Life Sciences, Capital Normal University, Beijing 100048, China
  2. College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou City, Henan Province, 466001, China
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Abstract

The Kuroshio Extension front (KEF) considerably influences the underwater acoustic environment; however, a knowledge gap persists regarding the acoustic predictions under the ocean front environment. This study utilized the high-resolution ocean reanalysis data (JCOPE2M, 1993–2022) to assess the impact of the KEF on the underwater acoustic environment. Oceanographic factors were extracted from the database using the Douglas-Peucker algorithm, and acoustic propagation characteristics were obtained using the Bellhop raytracing model. This study employed a backpropagation neural network to predict the acoustic propagation affected by the KEF. The depth of the acoustic channel axis and the vertical gradient of the transition layer of sound speed were identified as the fundamental factors influencing the first area of convergence, with correlations between the former and the distance of the first convergence zone ranging from 0.52 to 0.82, and that for the latter ranging from −0.42 to −0.7. The proposed method demonstrated efficacy in forecasting first convergence zone distances, predicting distances with less than 3 km error in >90% of cases and less than 1 km error in 68.61% of cases. Thus, this study provides a valuable predictive tool for studying underwater acoustic propagation in ocean front environments and informs further research.
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Authors and Affiliations

Weishuai Xu
1
Lei Zhang
2
Hua Wang
2

  1. No. 5 Student Team, Dalian Naval Academy Dalian, Liaoning, China
  2. Department of Military Oceanography and Hydrography and Cartography Dalian Naval Academy Dalian, Liaoning, China
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Abstract

The Pb(II)-resistant bacterium was isolated from heavy metal-contained soils and used as a biosorbentto remove Pb(II). The strain was identified as Enterobacter sp. based on the 16S rRNA sequence analysis. Theeffect of biosorption properties (pH value, Pb(II) concentration, bacterial concentration and temperature) onPb(II) was investigated by batch experiments. Results of FTIR and XPS showed that the biosorption process mainly involved some oxygen-containing groups (-OH and -COOH groups). The experimental results and equilibrium data were fitted by pseudo-second-order kinetic model and Langmuir model, respectively. The experimental biosorption isotherms fitted the Langmuir model, and the maximum biosorption capacity was 40.75 mg/g at 298 K. The calculated ΔGо and ΔHо were –4.06 and 14.91(kJ/mol), respectively, which indicated that biosorption process was spontaneous and endothermic. Results show that Enterobacter sp. will be an efficient biosorbent for Pb(II) removal.
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Authors and Affiliations

Lei Liu
1 2
Mengya Xia
1
Jianwen Hao
1
Haoxi Xu
1
Wencheng Song
2 3

  1. School of Environment and Chemical Engineering, Anhui Vocational and Technical College,Hefei, 230011, P.R. China
  2. Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, P. R. China
  3. Province Key Laboratory of Medical Physics and Technology, Institute of Health & Medical Technology,Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, P.R. China
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Abstract

This data article aimed to evaluate the influencing mechanisms of the nutrients and the level of eutrophication in the Yangtze River estuary. The seasonal characteristics of nutrients (dissolved inorganic nitrogen (DIN), SiO32−–Si, and PO4 3–P) in the seawater of the Yangtze River estuary were analyzed by conducting surveys in spring and summer of 2019. The findings revealed that the concentrations of all nutrient at the surface and bottom layers were lower in spring compared to summer. NO3 −–N was typically the major form of DIN. Runoff was identified as the primary source of DIN and SiO3 2−–Si, while PO4 3−–P originated from a various sources.The SiO32−–Si/PO43−–P and DIN/PO43−–P values in the surface and bottom layers during the spring and summer were higher than the Redfield values, indicating an imbalanced nutrient distribution. Furthermore, discrepancies were observed in the distributions of DIN/PO4 3−–P, SiO3 2−–Si/DIN, and SiO3 2−–Si/PO4 3−–P in the Yangtze River estuary. Through an examination of the ratio of DIN/PO4 3−–P absorbed by phytoplankton, PO4 3−–P was identified as a potential limiting factor for nutrition in the sea area of the Yangtze River estuary during spring and summer. The Eutrophication Index (E) values for both spring and summer were found to be higher than the eutrophication threshold, indicating severe eutrophication in the studied sea area.
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Authors and Affiliations

Lei Li
1
Guodong Xv
1
Yingjie Zheng
1
Mei Jiang
1

  1. East China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences, China
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Abstract

In order to realize selective isolation of fault lines in multi-terminal high voltage DC (MT-HVDC) grids, it is necessary to ensure that the sound lines can still transmit power normally after the grounding fault occurs in a DC power network. If the fault line needs to be cut before the converter is blocked, a DC circuit breaker (DCCB) with large switching capacity is often required. At present, the extreme fault over-current and the high cost of DCCBs have become the prominent contradiction in MT-HVDC projects. Reducing the breaking stress of power electronic devices of the circuit breaker and controlling its cutting-off time are the major difficulties in this research field. In this paper, a topology of a hybrid DCCB with an inductive current limiting device is proposed. By analyzing its working principle, the calculation method of key parameters is given, and a four-terminal HVDC grid is built in a PSCAD/EMTDC platform for fault simulation. The results show that compared with the traditional circuit breaker, this topology can effectively limit the rising speed and maximum current of fault current when the system fails, and quickly remove the fault line, so as to meet the suppression requirement of the HVDC system for fault current.
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Authors and Affiliations

Sihua Wang
1
ORCID: ORCID
Lei Zhao
1
Lijun Zhou
2

  1. College of Automation and Electrical Engineering, Lanzhou Jiaotong University, China
  2. Lanzhou Jiaotong University, China
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Abstract

The study of the subdivision driving technology of a stepper motor and two types of typical acceleration and deceleration curves aims at optimizing the open-loop control performance of the stepper motor. The simulation model of a two-phase hybrid stepper motor open-loop control system is set up based on the mathematical model of the stepper motor, in order to let the stepper motor have the smaller stepper angle, two types of typical acceleration and a deceleration curve algorithm are designed for the real- time online calculation based on the subdivision driving technology. It respectively carries out the simulation analysis for their control effects. The simulation results show that the parabolic acceleration and deceleration curves have a larger maximum in-step rotation angle and the faster dynamic response ability in the same control period, and at the same time, the position tracking error of an intermediate process is smaller.

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Authors and Affiliations

Deode Zhang
Jingqi Wang
Lei Qian
Jun Yi
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Abstract

High strength tire cord steel is extensively used in radial ply tyres as the framework material, but the presence of brittle single titanium inclusions or complex titanium inclusions can cause failure of the wires and jeopardize their performance in production. In order to provide a key guidance on the control of titanium inclusions, it is necessary to clarify their formation mechanism during solidification. In the present work, the thermodynamic calculations were employed for an elaboration on their formation mechanism, combined with the industrial test. The TiN–MnS complex inclusions observed by SEM–EDS shows that the internal corresponds to TiN and the external is MnS. Thermodynamic calculations based on the microsegregation model indicate that MnS forms first, which can act as a nucleation site for the co–deposit of TiN in the mushy zone. As the MnS inclusions have a better deformation than that of TiN inclusions, then the TiN inclusions are wrapped by the MnS inclusions, generating TiN–MnS complex inclusions after rolling.
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[27] Gao, S., Wang, M., Guo, J.L., Wang, H. & Bao, Y.P. (2019). Extraction, distribution, and precipitation mechanism of TiN–MnS complex inclusions in Al-killed titanium alloyed interstitial free steel. Metals and Materials International. 12, 1-9.
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Authors and Affiliations

Jialiu Lei
1
Xiumin Wang
1
Dongnan Zhao
1
Yongjun Fu
1

  1. Hubei Polytechnic University, China
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Abstract

Dynamic angle measurement (DAM) plays an important role in precision machining, aerospace, military and artificial intelligence. Because of its advantages including high sensitivity, solid state and miniaturization, fibre-optic gyroscope (FOG) has great application prospects in the field of DAM. In this paper, we propose a dynamic angle metrology method based on FOG and a rotary table to evaluate the DAMaccuracy with FOG. The system synchronously collects data from the FOG and rotary table, and analyses the DAM accuracy of the FOG for different sway conditions compared with that of the angle obtained from the rotary table. An angle encoder in the rotary table provides absolute or incremental angular displacement output with angular displacement measurement accuracy of 10′′ (0:0028◦) and angular displacement repeat positioning accuracy of 3′′ (0:00083◦), and can be used as an angle reference. The experimental results show that the DAM accuracy of the FOG is better than 0:0028◦ obtained with the angular encoder, and the absolute DAM accuracy of the FOG is better than 0:0048◦ for given conditions. At the same time, for the multi-path signal synchronization problem in the metrology field, this paper proposes a signal delay measurement method combining test and algorithm procedures, which can control a delay within 25 μs.

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Authors and Affiliations

Lei Chen
Yilan Zhou
Dengwei Zhang
Xiaowu Shu
Cheng Liu
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Abstract

High-speed serial standards are rapidly developing, and with a requirement for effective compliance and characterization measurement methods. Jitter decomposition consists in troubleshooting steps based on jitter components from decomposition results. In order to verify algorithms with different deterministic jitter (DJ) in actual circuits, jitter generation model by cross-point calibration and timing modulation for jitter decomposition is presented in this paper. The generated jitter is pre-processed by cross-point calibration which improves the accuracy of jitter generation. Precisely controllable DJ and random jitter (RJ) are generated by timing modulation such as data-dependent jitter (DDJ), duty cycle distortion (DCD), bounded uncorrelated jitter (BUJ), and period jitter (PJ). The benefit of the cross-point calibration was verified by comparing generation of controllable jitter with and without cross-point calibration. The accuracy and advantage of the proposed method were demonstrated by comparing with the method of jitter generation by analog modulation. Then, the validity of the proposed method was demonstrated by hardware experiments where the jitter frequency had an accuracy of 20 ppm, the jitter amplitude ranged from 10 ps to 8.33 ns, a step of 2 ps or 10 ps, and jitter amplitude was independent of jitter frequency and data rate.
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Authors and Affiliations

Nan Ren
1
Zaiming Fu
1
Shengcun Lei
1
Hanglin Liu
1
Shulin Tian
1

  1. University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu 611731, China
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Abstract

The rheological property of asphalt is an important factor affecting the pavement performance of asphalt binder, and the fundamental reason for the change of asphalt rheological property is the strong evolution of asphalt material meso structure. However, the internal mechanism of rejuvenated asphalt mastic system is complex and its rules are difficult to grasp. Aiming to study the relationship between meso mechanical parameters and rheological parameters of rejuvenated asphalt mastic, the meso structure model of rejuvenated asphalt mastic was established and improved based on the discrete element method. Moreover, the meso parameters of the model were obtained by the objective function method, and then the influences of various factorswere studied to construct the mathematical constitutive model of rheological parameter modulus and meso mechanical parameters. Combing with the reliability of the improved Burgers model was verified based on the rheological test results of rejuvenated asphalt mastic. In addition, the virtual test of dynamic shear rheological dynamic frequency scanning was carried out on the asphalt mastic sample by particle flow software. By adjusting the mesomechanical parameters, the simulation results (complex shear modulus and phase angle)were consistent with the test results. This study clarified the relationship between mesomechanics and macro performance, and this model could be used to obtain the complex shear modulus of rejuvenated asphalt mastic under different types, filler-asphalt ratio and external force environments by adjusting particle flow, wall boundary and other conditions, which can greatly save the workload for the later research and provide a theoretical basis for production experiments.
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Authors and Affiliations

Mei Lin
1
Yu Lei
1
Ping Li
1
Jun Shuai
1
Zhaoli Wang
2

  1. School of Civil Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
  2. Gansu Road and Bridge Green Smart Construction Technology Industry Research Institute, Lanzhou, 730030, China
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Abstract

Belts are widely applied in mine production for conveying ores. Understanding ore granularity, which is a crucial factor in determining the effectiveness of crushers, is vital for optimising production efficiency throughout the crushing process and ensuring the success of subsequent operations. Based on edge computing technology, an online detection method is investigated to rapidly and accurately obtain ore granularity information on high-speed conveyor belts. The detection system utilising machine vision technology is designed in this paper. The high-speed camera set above the belt is used to collect the image of the ore flow, and the collected image is input into the edge computing device. After binary, grey morphology and convex hull algorithm processing, the particle size distribution of ore is obtained by statistical analysis. Finally, a 5G router is used to output the settlement result to a cloud platform. In the GUANBAOSHAN mine of Ansteel Group, the deviation between manual screening and image particle size analysis was studied. Experimental results show that the proposed method can detect the ore granularity, ore flow width and ore flow terminal in real-time. It can provide a reference for the staff to adjust the parameters of the crushing equipment, reduce the mechanical loss and the energy consumption of the equipment, improve the efficiency of crushing operation and reduce the failure rate of the crusher.
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Authors and Affiliations

Jiang Yao
1
Yinbo Xue
2
Xiaoliang Li
2
Lei Zhai
2
Zhenyu Yang
3
Wenhui Zhang
3

  1. Northeastern University, China
  2. Chinese Academy of Sciences Allwin Technology Co., Ltd, China
  3. Ansteel Group Guanbaoshan Mining Co., Ltd, China
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Abstract

The cohesion and internal friction angle were characterized as quadratic functions of strain and were assumed to follow the Mohr-Coulomb criterion after the yield of peak strength. These mechanical parameters and their variations in post-peak softening stage can be exactly ascertained through the simultaneous solution based on the data points of stress-strain curves of triaxial compression tests. Taking the influence of the fault into account, the variation of strata pressure and roadway convergence with coal advancement, the temporal and spatial distribution of axial bolt load were numerically simulated by FLAC3D (Fast Lagrangian Analysis of Continua) using the ascertained post-peak mechanical parameters according to the cohesion weakening and friction strengthening model. The change mechanism of axial load of single rock bolt as abutment pressure changes was analyzed, through the comparison analysis with the results of axial bolt load by field measurements at a coal mine face. The research results show that the simulated results such as the period of main roof weighting, temporal and spatial distribution of axial bolt load are in accordance with field measurement results, so the validity of the numerical model is testified. In front of the working face, the front abutment pressure increases first and then decreases, finally tends to be stable. A corresponding correlation exists between the variation of axial bolt load and rock deformation along the bolt body. When encountered by a fault, the maximum abutment pressure, the influential range of mining disturbance and the roadway convergence between roof and floor before the working face are all increased. In the roadways along the gob, axial bolt loads on the side of the working face decrease, while the other side one increases after the collapse of the roof. As superficial surrounding rock mass is damaged, the anchoring force of rock bolts will transfer to inner rock mass for balancing the tensile load of the bolts.

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Authors and Affiliations

Hao Shi
Houquan Zhang
Lei Song
ORCID: ORCID
Yu Wu
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Abstract

In order to improve the utilization rate of coal resources, it is necessary to classify coal and gangue, but the classification of coal is particularly important. Nevertheless, the current coal and gangue sorting technology mainly focus on the identification of coal and gangue, and no in-depth research has been carried out on the identification of coal species. Accordingly, in order to preliminary screen coal types, this paper proposed a method to predict the coal metamorphic degree while identifying coal and gangue based on Energy Dispersive X-Ray Diffraction (EDXRD) principle with 1/3 coking coal, gas coal, and gangue from Huainan mine, China as the research object. Differences in the phase composition of 1/3 coking coal, gas coal, and gangue were analyzed by combining the EDXRD patterns with the Angle Dispersive X-Ray Diffraction (ADXRD) patterns. The calculation method for characterizing the metamorphism degree of coal by EDXRD patterns was investigated, and then a PSO-SVM model for the classification of coal and gangue and the prediction of coal metamorphism degree was developed. Based on the results, it is shown that by embedding the calculation method of coal metamorphism degree into the coal and gangue identification model, the PSO-SVM model can identify coal and gangue and also output the metamorphism degree of coal, which in turn achieves the purpose of preliminary screening of coal types. As such, the method provides a new way of thinking and theoretical reference for coal and gangue identification.
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Authors and Affiliations

Yanqiu Zhao
1
ORCID: ORCID
Shuang Wang
1
Yongcun Guo
1
Gang Cheng
1
Lei He
1
Wenshan Wang
1

  1. School of Mechanical Engineering, Anhui University of Science and Technology, China
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Abstract

Two kaolin ores with the almost same fineness and purity of original kaolinite but possessing different kaolinite crystallinity (Hinckley Index) were selected to study the influence of crystallinity and calcination conditions on the pozzolanic activity of metakaolin after dehydroxylation. The different calcination conditions were conducted by altering the calcination temperature and holding time to obtain different metakaolin samples with different degrees of dehydroxylation. Then pozzolanic activities of metakaolin samples were tested by the modified Chapelle test, Frattini test and strength evaluations. Additionally, the apparent activation energies of two kaolin ores were calculated to study the thermal properties of kaolinite by isoconversional methods followed by iterative computations. The results showed that pozzolanic activities were dependent on the degree of dehydroxylation, except for the metakaolins calcined at 900℃ due to the fact that recrystallization and high pozzolanic activity was conducted by complete dehydroxylation (degree of dehydroxylation ≥ 90%). Moreover, the lower crystallinity of original kaolinite favored the removal of the structural hydroxyls, leading to a reduction of apparent activation energy and increase of pozzolanic activity, indicating that the higher calcination temperature or longer holding time was required during calcination to reach the same degree of dehydroxylation and finally highly ordered kaolinite converted into the less active metakaolinite, which was confirmed by the lower Ca(OH)2 consumption in the modified Chapelle test, higher [CaO] and [OH] in the Frattini test and weaker compressive strength.
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Bibliography

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Authors and Affiliations

Yuanyuan Liu
1
ORCID: ORCID
Qian Huang
1
Liang Zhao
1
Shaomin Lei
2

  1. Yangtze Normal University, Chongqing Engineering Research Center for Structure Full-Life-Cycle Health Detection and Disaster Prevention, China
  2. Wuhan University of Technology, China
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Abstract

In order to explore the impact of coal and gangue particle size changes on recognition accuracy and to improve the single particle size of coal and gangue identification accuracy of sorting equipment, this study established a database of different particle sizes of coal and gangue through image gray and texture feature extraction, using a relief feature selection algorithm to compare different particle size of coal and gangue optimal features of the combination, and to identify the points and particle size of coal and gangue. The results show that the optimal features and number of coal and gangue are different with different particle sizes. Based on visible-light coal and gangue separation technology, the change of coal and gangue particle size cause fluctuations in the recognition accuracy, and the fluctuation of recognition accuracy will gradually decrease with increases in the number of features. In the process of particle size classification, if the training model has a single particle size range, the recognition accuracy of each particle size range is low, with the highest recognition accuracy being 98% and the average recognition rate being only 97.2%. The method proposed in this paper can effectively improve the recognition accuracy of each particle size range. The maximum recognition accuracy is 100%, the maximum increase is 4%, and the average recognition accuracy is 99.2%. Therefore, this method has a high practical application value for the separation of coal and gangue with single particle size.
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Authors and Affiliations

Xin Li
1 2
ORCID: ORCID
Shuang Wang
1 2
Lei He
1 2
Qisheng Luo
1 2

  1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China
  2. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China
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Abstract

In this paper, the typical sand-conglomerate uranium ore in north China was taken as the research object. The uniaxial compression and tensile tests of sand-conglomerate specimens under natural status and acidic solution status were used to research the compressive strength, tensile strength, Young’s modulus, cohesion and internal friction angle. Focusing on this type of uranium deposit, during the underground design of the in-situ leaching mining method, the three-dimensional finite element method was used to conduct a numerical simulation of the liquid collecting tunnel with different structural parameters of 10 m×2 m, 3 m×2 m, 2 m×2 m, and comprehensively analyse the vertical displacement, principal stress and plastic deformation zone changes of the tunnelbefore and after leaching. Based on the results, influenced by an acidic aqueous solution, the grain of the conglomerate became soft and secondary pores appeared, resulting in the superimposed effect of physical damage and chemical damage. Macroscopically, an obvious decrease was witnessed in mechanical property. Based on the stability and economy factor of three scenarios before and after leaching, the scenario was recommended as the experimental testing scenario, specifically, two longitudinal collecting tunnel were arranged along the strike of the orebody, with the size of 3 m×2 m and the width of the middle pillar of 4 m. The results of the numerical simulation are significant in guiding the design of underground in-situ leaching technology and determining the structural parameters of the deposit.
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Authors and Affiliations

Yulong Liu
1 2
Lei Huang
2
Guicheng He
1
Nan Hu
1
Shuhui Zhou
2
Qing Yu
1
Dexin Ding
1

  1. Key Discipline Laborat ory for Nat ional Defensefor Biotechnology in Uranium Mining and Hydrometa llurgy, University of South China, China
  2. China General Nuclear Power Group (CGN) Uranium Resources Co., Ltd, Beijing 100029, China
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Abstract

In this work, a highly effective catalyst (MoO3) is synthesized and applied for catalytic wet air oxidation (CWAO) treatment of pharmaceutical wastewater. The catalyst is systematically characterized to investigate the morphology, crystal structure and chemical composition, and the findings demostrated that MoO3 catalyst is successfully synthesized. The degradation mechanism is also illustrated by the density functional theory (DFT) calculation. The degradation experiments confirm that MoO3 catalyst exhibits excellent catalytic performance in CWAO, and the removal rate of TOC (Total Organic Carbon) and COD (Chemical Oxygen Demand) is achieved to more than 93%. The catalyst doses, reaction temperature and reaction time have a significant impact on the removal of pollutants. The degradation process of pollutants in CWAO could be satisfactorily fitted by the second-order kinetics. Besides, MoO3 displays a favorable stability as CWAO catalyst. DFT calculation illustrates that MoO3 catalyst is a typical indirect band gap semiconductor. Moreover, the high temperature environment provides the thermal excitation energy, which favors to the free electrons nearing Fermi level to escape the material surface, and excites them to the conduction band, then directly reduces the pollutants in CWAO. These findings demonstrate that MoO3 can be used as an efficient and excellent catalyst for CWAO of pharmaceutical wastewater.
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Authors and Affiliations

Chen Chen
1
Ting Cheng
2
Lei Wang
1
ORCID: ORCID
Yuan Tian
1
Qin Deng
1
Yisu Shi
1

  1. School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, China
  2. School of Environmental Ecology, Jiangsu City Vocational College, China
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Abstract

The aging of composite insulators in outdoor operation for a long time has a direct impact on the safe and stable operation of the power grid. To solve this problem, fuzzy comprehensive evaluation of composite insulators based on level difference maximum is proposed. To verify the feasibility of this method, insulators in Xinjiang are sampled and the index evaluation system for composite insulators is established based on electrical, mechanical, hydrophobic and other properties, combined with operational years, geographical environment and other factors; Firstly, different membership functions are established according to index types. It is more likely to determine the grade of insulator by comparing measured data with the boundary value. Then, to solve the problem that weights cannot be effectively integrated in the combination weighting, level difference maximization is proposed (during the operation of insulators, the index which has a greater influence on the performance of insulators takes a higher proportion of the weight). Finally, on the basis of fully considering the clarity and ambiguity of grade division, the grade state of insulators is obtained by using the linear weighting method. The results show that compared with the traditional method, the improved method of the membership function and level difference maximum can realize the dynamic adjustment of the index based on the degree of information change. The method can better evaluate the insulator grade. The case study shows that the model can accurately and quickly judge the state of composite insulators, which can be used as a reference for manufacturing and maintenance departments.
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Authors and Affiliations

Sihua Wang
1
ORCID: ORCID
Long Chen
1
ORCID: ORCID
Lei Zhao
1
Junjun Wang
1

  1. Lanzhou Jiaotong University, Lanzhou, 730070, China
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Abstract

Effective recognition of tags in the dynamic measurement system would significantly improve the reading performance of the tag group, but the blurred outline and appearance of tag images captured in motion seriously limit the effectiveness of the existing tag group recognition. Thus, this paper proposes passive tag group recognition in the dynamic environment based on motion blur estimation and improved YOLOv2. Firstly, blur angles are estimated with a Gabor filter, and blur lengths are estimated through nonlinear modelling of a Generalized Regression Neural Network (GRNN). Secondly, tag recognition based on YOLOv2 improved by a Gaussian algorithm is proposed. The features of the tag group are analyzed by the Gaussian algorithm, the region of interest of the dynamic tag is effectively framed, and the tag foreground is extracted; Secondly, the data set of tag groups are trained by the end-to-end YOLOv2 algorithm for secondary screening and recognition, and finally the specific locations of tags are framed to meet the effective identification of tag groups in different scenes. A considerable number of experiments illustrate that the fusion algorithm can significantly improve recognition accuracy. Combined with the reading distance, the research presented in this paper can more accurately optimize the three-dimensional structure of the tag group, improve the reading performance of the tag group, and avoid the interference and collision of tags in the communication channel. Compared with the previous template matching algorithm, the tag group recognition ability put forward in this paper is improved by at least 13.9%, and its reading performance is improved by at least 6.2% as shown in many experiments.
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Authors and Affiliations

Lin Li
1 2
Xiao-Lei Yu
1 2
Zhen-Lu Liu
1
Zhi-Min Zhao
1
Ke Zhang
1
Shan-Hao Zhou
1

  1. College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  2. National Quality Supervision and Testing Center for RFID Product Jiangsu, Nanjing 210029, China
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Abstract

It is not easy to make the insulators of the railway catenary for the dry and cold environment of the icy Qinghai-Tibet plateau, without causing serious ice-related flashover accidents. To study the operating status of catenary icing insulators, a two-dimensional icing model of catenary cantilever insulators was established based on the winter environmental characteristics of the Golmud station on the Qinghai-Tibet Railway. Compared different directions of ice growth, the spatial electric field distribution, and surface temperature distribution characteristics of icing insulatorswere analyzed by multi-physical field coupling simulation. The results show that as the thickness of the ice layer increases and the length of the icicle increases, the field intensity of the insulator gradually increases, and the surface temperature continues to rise. When the ice edge grows vertically downward, the electric field intensity of the insulator is the smallest, and the electric field intensity is the largest when the ice edge grows horizontally. Although the surface temperature of the insulator will rise with the increase of icing degree, it is lower than the freezing point and will not have a great impact on insulation performance. Secondly, when the cantilever insulator is arranged obliquely, the increase in the inclination angle will cause the electric field to increase and the temperature to rise slightly, so the inclination angle of the oblique cantilever should be reduced as much as possible during installation. Finally, the insulator with better insulation performance is obtained by optimizing the structure of the flat cantilever insulator.
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Authors and Affiliations

Sihua Wang
1
ORCID: ORCID
Junjun Wang
1
Lijun Zhou
1
Long Chen
1
ORCID: ORCID
Lei Zhao
1

  1. Lanzhou Jiaotong University, China
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Abstract

Room temperature vulcanized (RTV) silicone rubber is widely used to prevent pollution flashover with its excellent hydrophobicity and hydrophobicity transfer. However, RTV coatings are at the risk of deterioration and failure in heavily polluted operating environment. In this paper, RTV coated insulators with different suspension heights operating in coal ash polluted areaswere sampled. Pollution degree, pollution composition and aging degree of coatings were tested. The result shows that the insoluble pollution contains Al(OH)3 filler precipitated from RTV coating, which indicates the aging of the RTV coating. The top surface coating is more affected by ultraviolet and rainwater than the bottom surface resulting in more serious degradation. As the pollution degree of the lower phase insulator is heavier than that of the upper phase insulator, the erosion effect of pollution on the RTV coating is more intense. The fillers and rubber molecules of RTV continuously precipitate into the pollution layer, leading to further aging. Therefore, the overall aging degree of the lower insulator coating is more serious than that of the upper insulator coating.

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Authors and Affiliations

Lei Lan
Lin Mu
Yu Wang
ORCID: ORCID
Xiaoqing Yuan
Wei Wang
ORCID: ORCID
Zhenghui Li

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