bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unloading Mechanism and Design Analysis of Surrounding Rock in Deep High Stress Roadway
Authors: Wang Xinfeng , Luo Wenbo , Qiu Linling , Gao Yuhao , Lu Mingyuan , Li Shan , Chen Ziyang 
Published: January 2020

Abstract
The strong pressure on the roof, excessive concentration of stress, soft and broken surrounding rock, and difficulties in roadway support have always been important factors affecting the safety and stability of deep high stress soft rock roadway. Based on the special space unloading function of the pressure relief groove in the deep soft rock roadway, starting from the unloading pressure theory of deep surrounding rock, this paper has analyzed the effect of the pressure relief groove in relieving the pressure of the deep mine and controlling the deformation of surrounding rock. Three dimensional numerical simulation software FLAC3D was used to compare and analyze the surrounding rock failure and stress distribution characteristics before and after the excavation of the pressure relief groove in the deep high-stress soft rock roadway, and the optimum setting position of the pressure relief groove was also optimized. The results show that the deformation of surrounding rock can be effectively controlled after excavating and unloading pressure trough in deep high-stress soft rock roadway, and the displacement of top and bottom plate and roadway side can be reduced by nearly 30mm; the stress concentration is significantly reduced, the stress peak is transferred to the deep part of surrounding rock, and the pressure relief effect is obvious, which effectively maintains the safety and stability of the roadway, and indicates the direction for the pressure relief adjustment and stress control of the high-stress soft rock roadway at the deep part.
Early Warning Information Release Algorithm of Internet of Vehicles Based on AHP and Fuzzy Evaluation Model
Authors: Xu Jing , Wang Juan , Luo Xue , Shen Mengting 
Published: January 2020

Abstract
The security problems caused by the intelligent vehicle network emerge in endlessly. However, the research on the information release of the existing vehicle network focuses on the release mode of the early warning information, without considering the importance division of the early warning information. Aiming at these problems, message queuing telemetry transport (mqtt) is introduced to transmit the network data of the Internet of vehicles, analytic hierarchy process (AHP) is introduced to divide the factors influencing the early warning information into levels, fuzzy evaluation model is introduced to evaluate the importance of the early warning information, and the design is adapted to the characteristics of the Internet of vehicles. Alert information publishing scheme. The experimental results show that the average arrival time of high-level emergency warning information divided by AHP and fuzzy evaluation model increases by nearly 50% with the number of warning information, and the proportion of high-level emergency warning information response within the threshold time is three times higher, which shows that the scheme plays an important role in the distribution of the Internet of vehicles warning information.
Research on Digital Simulation of Blind Equalization in Multipath Ground-to-Air Communication Channel
Authors: Wu Xilei 
Published: January 2020

Abstract
In ground-to-air communication, the inter-symbol interference caused by multipath effect is often the important cause of poor communication quality. Channel equalization technology can effectively solve the problem of inter-symbol interference in ground-to-air communication. Firstly, we theoretically analysed the multipath transmission channel of ground-to-air communication and did the simulation modeling work. Then, we selectively analysed the model structure, the principle of the process and the adopted key equalization algorithm. Based on the technology system and working parameters commonly used in ground-to-air communication, we simulated equalizing reception processing performance of the communication model in multipath channel and gave some simulation data. Experimental results showed that DD-LMS adaptive equalization technology can significantly improve the reception performance of the communication system in the ground-to-air communication system which is affected by multipath interference and it provides valuable reference for the evaluation of the multipath transmission performance of the ground-to-air communication system.
Energy Minimization Transmission for Cache-Enabled Wireless Relay Networks
Authors: Ge Bin , Li Ziheng , Meng Chao 
Published: January 2020

Abstract
Caching techniques have attracted extensive attention, which can significantly reduce peak traffic load and access latency, and improve energy efficiency and quality of service. In this paper, we strive to proactively caching the content requested by the user in periods with low traffic to minimize the total energy consumption and a low complexity algorithm is proposed. Furthermore, we also propose an optimal offline transmission strategy. Considering the cache size is large enough, we can obtain the optimal cache size, which can achieve our optimization goal. Numerical and simulation results show that the optimal data transmission algorithm can significantly reduce the global energy consumption of the network compared with the traditional not caching algorithm. As cache size increases, the superiority of the proposed algorithm becomes more obvious.
A Review on Fault Diagnosis in Wireless Sensor Networks
Authors: Xiao Jinchao , Zhu Yujie , Zhong Yingchun , Lin Zifan 
Published: January 2020

Abstract
With the wide utilization of wireless sensor networks(WSN), higher reliability and stability are being pursued gradually. In most cases, the communication capability for sensor network is influenced by the complex environmental conditions, the open characteristics of channels, the energy limitations of nodes, as well as network protocol design issues, ultimately leading to the high possibility of network failure. As a result, a timely and accurate fault diagnosis is of much significance for a network to ensure the stable operation and execution efficiency. This article firstly demonstrates the diagnostic process on the following three aspects, including the collection for network fault information, fault detection, and diagnosis process. In addition, the features of commonly used technologies are also analyzed and compared in order to identify their application scope respectively. Finally, this paper makes the summary for the possible development trends and future research directions of fault diagnosis.
Based on Machine Vision Fruit Target Detection Method
Authors: Yin Guanghui , Xie Yuanmin , Yun Juntong , Chen Hang , Yang Chuanjie 
Published: January 2020

Abstract
Fruit detection and location is the key technology of fruit picking automation. In this paper, aiming at the problem of fruit detection and location, fruits growing in natural environment were studied based on the Faster R-CNN target detection model. Experimental verification shows that the detection and recognition of fruit based on Faster R-CNN model can achieve higher detection accuracy and speed.
Fineness Standard and Implementation Method of 3D Model of Electrical Equipment in Substation (Converter Station)
Authors: Guan Lan , Wang Wei , Hu Junhui , Li Zan , Wang Hui , Yang Xiaoguang 
Published: January 2020

Abstract
In order to solve the problem of inconsistent modeling depth and uneven model granularity in the 3D modeling process of power grid engineering, this paper analyzes the fineness requirements of 3D models at all stages of engineering. Referring to the LOD rule of the US National BIM Standard, three-dimensional model fineness guidance for electrical equipment in substations (commutation stations) is developed and the model fineness is divided into two fineness levels, including the general model and the product model. The feasibility of the guidance is verified by actual engineering.
SWAT Model Simulation of Non-Point Source Pollution in the Miyun Reservoir Watershed
Authors: Li Mingtao , Guo Qianqian 
Published: January 2020

Abstract
Non-point source pollution is becoming an important factor affecting water environment in China. The Soil and Water Assessment Tool (SWAT) model, the most powerful tool in measuring NPS, has played a significant role in NPS research across China. The suitability and calibration of the SWAT model is of primary importance. This study evaluated the effectiveness and applicability of SWAT model in runoff and nutrient load in Miyun Reservoir watershed. The SWAT model was also calibrated and validated using parameter sensitivity analysis, which showed that ALPHA_BF, SOL_AWC, CN2, NPERCO, PHOSKD and PPERCO were the most sensitive parameters, resulting in large variations in hydrological and nutrient loads. SWAT calibration and verification suggested it is a reliable method of measuring the NPS pollution in Miyun Reservoir watershed. This study estimated and analyzed spatial and temporal variations in NPS pollution loads in Miyun Reservoir watershed from 2005 and 2010. Significant variations in NPS pollution loads were found in different simulation periods. There were noticeable differences and an uneven distribution between high- and low-flow years. Nutrient loss occurred most frequently during high-flow years and wet seasons, the crucial period for pollution prevention. The results show that the total nitrogen loads is much higher than the total phosphorus loads. The pollution loads resulting from various land use types showed significant spatial differences: agricultural land had the most TN and TP load per unit area, followed by grassland. Forest land had the least pollution load per unit area. NPS load has a remarkable association with the spatial distribution of precipitation across the entire watershed.
Analysis of Temporal and Spatial Characteristics of Global Fires
Authors: Li Wenjie , Yan Shiqiang , Wang Chengliang 
Published: January 2020

Abstract
Fires will not only affect the natural environment and human health, but also the satellite sensor for detecting infrared signals because of the strong infrared radiation. Based on statistical methods and visual analysis, this paper analysed the fire product data from 2015 to 2018 provided by the Visible Infrared Imaging Radiometer Suite (VIIRS) to understand the spatial and temporal distribution characteristics of global fires. The research contains the following results: the spatial distribution of global fires is basically the same in different years; The global fires are mainly concentrated between 45°S∼75°N latitude zone; The maximum of global fires for four years occurred in August, and minimum in May; The monthly number of fires in different latitude bands has a significant periodicity; The mainly distribution of fires are shifted in the northern and southern hemispheres with seasonal changes. The research results will lay the foundation for studying the distribution and type discrimination of fires.
Highway Ramp Radius Effects on Driving Safety Cognition
Authors: Xiao Jinjian , Weng Yubo , Xie Yingna 
Published: January 2020

Abstract
The driving safety cognition formation was effected distinctly by the highway ramp radius. The ramp radius and automobile velocity were adopted to build driving safety cognition formatting model in the highway ramp environment. The fuzzy logic reasoning rules were applied to construct the computing layers of driving safety cognizing formatting neural network. The driving safety cognition experimental samples in the different ramp radius were gained under different experimental automobile velocity. Weights of fuzzy-neural network layers were trained and were to analog compute effects on the driving safety cognitions under different ramp radius with different experimental velocity. The resulting analyzing to prove that the relations between the typical ramp radius and driving safety cognition were calculated accurately. The trained neural network structure of driving safety cognition based on the utilizing fuzzy inferences is helpful to improve driving safety cognitions of the highway ramp under different automobile velocity.
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic
Authors: Wang Yi , He Mingyuan , Xiang Jie , Ge Jingjing 
Published: January 2020

Abstract
Aiming to the difficult area of surveying and mapping, such as Antarctic, it is difficult to guarantee favourable observation condition for traditional mapping methods. Large-scale block adjustment (BA) without ground control point (GCP) is carried out by using domestic high-resolution satellite remote sensing imagery. The key technologies of BA model construction based on virtual control point (VCP), gross error detection and elimination, and robust and fast method of large-scale BA are studied in this paper. On this basis, the experimental analysis and validation of 13pairs (39 images) of ZY-3 satellite imagery in Antarctic are carried out. The results show that the sparse matrix technology can effectively reduce the memory requirement. The combined matrix block and GPU parallel technology can solve the problem of large-scale BA computational efficiency. In addition, after BA, the maximum residual is 3.920 pixel, the root mean square error (RMSE) is 0.169 pixel in the X (flight) direction, the maximum residual error is 5.933 pixel, and the RMSE is 0.191 pixel in the Y (scan) direction. The proposed method has certain accuracy and stability in large-scale BA without GCP using high-resolution satellite remote sensing imagery in Antarctica. The relative positioning accuracy can reach sub-pixel level, which can meet the requirements of cartographic splicing.
Influence of Uncertainties in DEM Resolution and Surface Friction to the Building Treatment Methods in Urban Inundation Modelling
Authors: Shen Ji 
Published: January 2020

Abstract
This study evaluates the influence of uncertainties in DEM resolution and surface friction to building treatment method by conducting several simulations with various input parameters. A common two-dimensional hydrodynamic model is applied in a study area to produce the inundation results for every simulation. Comparison analysis between the simulation results and observed data suggest that the performance of building treatment method and urban inundation modeling is affected by the uncertainties in DEM resolution and surface friction. Moreover, different building treatment methods show disparity in sensitivity to the changes in model input. In practical terms, we can choose one of these methods based on the practical conditions, including available data, basin conditions and time constraints. The findings in this study are important for improving urban inundation models and for using their predictions in decision-making for various urban environments, which may provide some valuable insights into the flood management and risk assessment for the urban sites.
Concept of Absolutism - Comments on the Theory of Relativity and Quantum Mechanism
Authors: Zhang Luoping 
Published: January 2020

Abstract
After reviewed the problems in science and the folk that were difficult to be scientifically explained by contemporary physics, the reason is analyzed and found that contemporary physics is based on the human vision and cognition to think the universe, not based on nature. Then the concept of Absolutism is proposed based on nature itself and its intrinsic property, absorbed folk experience and lessons as well as religious thoughts, and criticized the Theory of Relativity and Quantum Mechanism. It includes three axioms and four corollaries to set up core concept, and establish the absoluteness of the material world. As an original concept of physics, the concept of Absolutism will deliver a revolutionary concept and thinking style for contemporary physics, and give contemporary physics a jolt after the Theory of Relativity and Quantum Mechanism have been proposed one hundred years.
Application of RS & GIS in Regional Landslides Susceptibility Mapping and Spatiotemporal Characteristics Analysis
Authors: Zhang Qiuwen , Ye Song , Yan Fei , Ren Bo 
Published: January 2020

Abstract
Landslide susceptibility mapping is one of the most important aspects of landslide early warning and prediction. Therefore, it is very necessary to improve the accuracy of landslide susceptibility assessment by focusing on the mapping results. Besides, as the obvious spatial and temporal heterogeneity of regional landslide susceptibility, revealing and mastering the spatial and temporal distribution characteristics of landslide susceptibility and analyzing their possible genetic mechanisms, have significant guidance for the development of landslide prevention measurements. With the integrated application of RS and GIS technology, firstly, this paper acquires and manages the landslide impact factors in the study area, then the regional landslide susceptibility zonation map is drawn, and finally, the spatiotemporal characteristics of the regional landslide susceptibility distribution are analyzed. It is shown that RS and GIS can play very important roles in the regional landslide susceptibility mapping and spatiotemporal characteristics analysis.
Improvement of MNIST Image Recognition Based on CNN
Authors: Wang Yifan , Li Fenghou , Sun Hai , Li Wenbo , Zhong Cheng , Wu Xuelian , Wang Hailei , Wang Ping 
Published: January 2020

Abstract
At present, great progress has been made in the field of image recognition, especially in convolutional neural network. Lenet-5 convolutional neural network has been able to identify handwritten digit MNIST database with high precision. In this paper, experiments show that different activation functions, learning rates and the addition of the Dropout layer in front of the output layer will make the convergence speed different, weaken the influence of the initial parameters on the model, and improve the training accuracy. It is proved that the modified LeNet-5 model has a better improvement in handwritten digit recognition. This method is an efficient recognition method.
Integration of Information Security and Artificial Intelligence Implementation
Authors: Wu Ying 
Published: January 2020

Abstract
The application of artificial intelligence will inevitably lead to a leap in the production, transmission and storage of information and changes in its characteristics. Information security will also have new characteristics. Artificial intelligence plays an increasingly important role in the field of information security, especially in defense and attack. From the series of legislation and planning in Europe and the United States, we can see how to make use of the characteristics of artificial intelligence to better protect and enhance information security has become a hot topic in the industry.
Evaluation of risk factors affecting the implementation time for residential complex projects in Iraq
Authors: Khaleel Tareq A. , Flayeh Mohanad Ahmed 
Published: January 2020

AbstractResidential complex projects represent one of the most important infrastructure project types in Iraq, as these plays a significant role in housing provision. In recent years, various types of risks that may occur during the implementation stage of residential complex projects have been identified. To accomplish these projects successfully, it is thus very important to manage these risks where they may affect project objectives in terms of cost, time, and quality, and risks often cause delays or cost overruns. The concept of risk management is to develop a systematic process that includes planning, identification, response planning, analysis, and assessment of both qualitative and quantitative variables, monitoring and mitigation of risks. This research thus aims to identify, assess and analyse the factors related to risks that may affect the implementation time for residential complexes projects by means of conducting statistical analysis using IBM SPSS v22 and Microsoft Excel to determine the severity risk for such project risks based on a relative importance index. This data for this was gathered by means of a questionnaire, field survey, and personal interviews. The questionnaire consisted of three parts, with the first part including general information about the sample; the second part included 17 queries about applications of risk management systems as a methodology; and the third part discussed the probability of occurrence and impact of risks, with 57 factors considered. The results of the statistical analysis showed that only four out of the 17 items in section 2 were applied; further, by analysing responses to the 57 factors, only 25 factors were found to have high impacts on risk occurrence in residential complex projects in Iraq. This suggests that only 44% of time overruns in residential complex projects may occur due to risk factors. The most important factors in terms of high impact are executing works that do not conform to specifications, which leads to rejecting and returning works, inaccuracy of schedule, and delayed payment of advances in accordance with the contract.
Dynamic analysis of a rotating stepped shaft with and without defects
Authors: Jweeg Muhsin. J. , Alnomani Salah. N. , Mohammad Salah. K. 
Published: January 2020

Abstract
Rotating machines have many applications, in several mechanical systems. They typically contain a rotary shaft as an influence conversion unit, that is subject to multiple loads in operation. One of the most widely-used rotary machines is the pump, and pump shafts are exposed to many forces due to fluids, unbalancing due to slight bending in the shaft or errors of design or bearings, bearings-induced forces, etc. These forces can reach an unacceptable level once the rotor is functioning close to its natural frequencies. Excessive vibration levels within the device cause fatigue and thus tiny cracks may grow to a serious extent and ultimately cause failure. In this study, dynamic analysis of the pump shaft was made, with and without cracking. Fundamental bending natural frequencies and torsional natural frequencies, response shaft, the equivalent stresses and total deformations in each dynamic and static cases were evaluated. The dynamic load factor (DLF) was calculated in the presence of cracks of various depths (4mm, 6mm, 8mm, 10mm, 12mm) set at diverse locations (x=80mm, x=166mm, x=210mm) measured from the point of overhanging. The finite element method by ANSYS package was used to conduct the numerical analysis for this study, and a specific experimental test rig was built to verify the experimental results. Results showed that increasing depth of the cracks will lead to reducing in the natural frequency and, as a result, increase instability in the shaft. When the location of the crack is close to the highest bend point in the shaft, the natural frequencies will increase. In addition, the equivalent stress depends on cracking location and it is increased with increased depth of cracking.