bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpretable Recommendation System Based on Knowledge Map Features
Authors: Chen Hongyu , Liu Jingyang , Yang Mao 
Published: April 2020

Abstract
At present, it can be explained that the recommendation system is mostly designed for a specific recommendation model, and its scalability is weak. It is not enough for the emerging recommendation models, such as complex and mixed models with deep neural networks.Knowledge maps as a highly readable external knowledge carrier provide great possibilities for improving the ability of algorithms to interpret.In essence, the knowledge map is intended to describe the various entities or concepts and their relationships that exist in the real world, which constitute a huge semantic network diagram, nodes represent entities or concepts, and edges are composed of attributes or relationships.Based on the current research status, this paper analyzes and studies the concept of knowledge map, the combination of knowledge map and recommendation system, the object of interpretability and the application of knowledge map in interpretability model, combined with relevant recommendation models. The knowledge map, open up the relationship between the media, flexibly choose the most suitable medium according to the specific situation to recommend and explain the user.
Oil Depot Safety Inspection and Emergency Training System Based on Virtual Reality Technology
Authors: Wan Jing , Zheng Yue , Li Yonghui , Mei Huiwei , Lin Lanfang , Kuang Liping 
Published: April 2020

Abstract
An oil depot safety inspection and emergency training system based on VR technology is proposed in this paper for the safety inspection and emergency training with the problems of high cost, high risk, difficulty to repeat, unsatisfactory training effect and single form in hazardous chemical industry such as oil-gas storage. The system utilizes VR development engine, applies 3D Max, Unity 3D and Visual Studio and other development software to complete 3D scenarios building and visualization of the oil depot, furthermore, achieves highly realistic picture effects by HD scriptable render pipeline technology, so as to realize dynamic simulation of various application scenarios such as realistic three-dimensional roaming, knowledge learning, safety inspection and typical fire accident emergency drill. The application results show that the system can effectively improve the pertinence, interesting, operability and implementation effect of oil depot safety inspection and emergency training, so as to achieve the purposes for improving the level of safety knowledge and skill and reducing safety accident.
Research on Regional Logistics Capacity of Agricultural Products in Henan Province
Authors: Liu Xinlu , Hou Hanping , Yang Jianliang , Geng Shaoqing , Ju Yingjie , Yao Tianhui , Ren Hongzhi , Zou Jingyan , Wang Wenjuan , Wang Liting 
Published: April 2020

Abstract
There are many kinds and large scale of agricultural products in Henan Province of China. To research on regional logistics capacity of agricultural products is helpful for us to understand the advantages and disadvantages of agricultural products logistics capacity. However, there are many influencing factors and large complexity in the evaluation of agricultural product logistics ability, so it is necessary to establish a scientific variable system. In this paper, 10 variables are selected from three dimensions which are regional economic variables, regional basic variable, and regional development variable, therefore the variable system is constructed. The regional agricultural product logistics capability of 18 cities in Henan Province is evaluated by factor analysis and Cluster Analysis. It is found that logistics development is different among these cities with the low efficiency and high loss of agricultural product logistics. In addition, on the basis of conclusion of the analysis, some suggestions are putting forward to promote the development of agricultural products logistics.
Sealing Performance Optimization of High Temperature Resistant Steam Sealing Thread of Casing in Heavy Oil Thermal Recovery Well in Xinjiang Oilfield
Authors: Song Lin , Wang Xuegang , Wu Yanxian , Zhong Shouming , Yin Wenfeng 
Published: April 2020

Abstract
API trapezoidal thread can not adapt to the high temperature environment of heavy oil thermal recovery in Xinjiang Oilfield. Serious casing damage occured due to leakage of API trapezoidal thread leakage. In this paper, based on API trapezoid thread structure, a sealing structure with conical surface and shoulder surface were added at the end of the thread. Therefore, a high temperature resistant steam sealing thread (HTRSS thread) suitable for heavy oil thermal recovery well was designed. The influence of the taper of the conical surface and the angle of the shoulder surface on the sealing performance of the thread was analyzed by the finite element method. The sealing structure with the taper of the conical surface of 1/16 and the angle of the shoulder of 10° was optimized. By comparing with the sealing performance of API trapezoid thread and field application, it is verified that the HTRSS thread has excellent sealing performance. The application of the HTRSS thread can effectively reduce the casing damage rate of heavy oil thermal recovery wells and save the heavy oil production cost.
Application and Research of Multiple Support Types in the Combination of Deep Foundation Pits
Authors: Zheng Suping 
Published: April 2020

Abstract
We are studying the foundation pit support technology is currently the most common engineering problem in foundation pit engineering, and this is very important for the selection of support structure. We found that construction techniques such as soil-nailed walls, cast-in-place piles, triaxial cement mixing piles, row piles, anchors (rods), deep well dewatering, and internal support in foundation pits are more common construction methods in deep foundation pit support technology. During the design and construction process, according to the different environmental conditions, engineering geological conditions and support requirements of the construction site, we can flexibly adopt a variety of support types to form a safe and reliable support system. Using this method can ensure the foundation pit is opened. Safety during digging. We found in the project an example of the design of the full-type technology of the support group of “filled pile + internal support”. We applied the rational foundation pit algorithm to the excavation process of the soft soil deep foundation pit under the row pile support. The variation of the moment of the pile body, the lateral deformation of the pile body and the ground settlement around the foundation pit due to excavation were analyzed. In the project, we combined the monitoring information of the foundation pit, and the experimental results resulted in this type of support combined support technology. In the foundation pit support technology, the limited deformation results are good, and the impact on the surrounding foundation is small. Studies have proved that this technology can provide a reference for similar engineering practices, and the technology has practical research significance.
A Novel RO/FO Hybrid Seawater Desalination System and Its Software Implementation
Authors: Shi Yaoke , Du Xianjun , Jegatheesan Veeriah , Liyanaarachch Susanthi 
Published: April 2020

Abstract
Seawater reverse osmosis (SWRO) desalination technology is being widely used in coastal countries to meet the supply demand of fresh water for living and industry using. Despite major advancements in SWRO technology, the desalination industry is still facing significant practical issues. Generation of higher volumes of pretreatment sludge and low overall water recovery are the two of the major issues. A novel hybrid reverse osmosis-forward osmosis (RO/FO) system is proposed to overcome the above two drawbacks. Mass balance calculations based on laboratory experiments have been used to predict increased water recovery and reduced pretreatment sludge volume arising from large scale (340,000 m3/day of intake) and small scale (15,000 m3/day of intake) hybrid SWRO desalination plants. After that, we developed a software for the RO/FO hybrid system in MATLAB, and different water flux values were studied to verify the system. It was packaged into executable files and it can run smoothly on computers without MATLAB installed. By setting different operating parameters in the RO/FO system software interface, the percentage reduction of pretreatment sludge volume, increase in overall RO water recovery, FO membrane area required and dilution in RO reject can be estimated quickly in a variety of different options.
Self-Tuning of PID Parameters Based on Adaptive Genetic Algorithm
Authors: Zhao Jimin , Xi Miao 
Published: April 2020

Abstract
Aiming at the problems existing in the PID parameter tuning of traditional genetic algorithms, a method of applying adaptive genetic algorithms to parameter tuning was proposed. It takes system overshoot and dynamic performance indicators as the objective function, optimizes the crossover and selection probability in the genetic algorithm, reduces the probability of the system entering a local optimum, and makes the system converge faster. Comparing the traditional manual tuning PID and the genetic algorithm (GA) PID controller with the adaptive genetic algorithm (AGA) PID controller, it is concluded that the use of adaptive genetic algorithm can improve the performance indicators of the system.
Evaluation and Analysis of Bearing Capacity of Masonry Arch Bridge Based on Structure Detection and Checking Analysis
Authors: Qiao Guodong , Tang Zujie , bi Suosong 
Published: April 2020

Abstract
In this paper, on the basis of structure detection and technical status evaluation, the load effect and bearing capacity of the key section of masonry arch bridge under the most adverse load were calculated based on the theoretical model, and then the bearing capacity was evaluated comprehensively. The results of the project can be used for reference for similar bridge detection and evaluation.
Research on Calculation Model of Cutting Bed Thickness of Horizontal Well
Authors: Hao Wen , Hao Wu , Qian Li 
Published: April 2020

Abstract
Correctly understanding the law of migration of the cuttings bed and the settlement of the cuttings have a great effect on the effect of wellbore purification. According to the flow law of solid-liquid two-phase flow in the wellbore, a model for calculating the height of the cuttings bed and a starting model of the cuttings bed are proposed, and a method for predicting the thickness of the cuttings bed is proposed.
Research on Lane Recognition of Auto-Driving Vehicles
Authors: Bai Yuefei 
Published: April 2020

Abstract
This paper introduces the algorithm design of lane recognition system. In the binarization module, a double-division maximum inter-class variance filter iterative algorithm is proposed to guarantee the speed and quality of binarization. In the middle, the close-up part adopts the block-type Hough line extraction technology, and the second close-range part adopts an approximation-based extraction method to ensure the processing speed.
Research on the Application of Computer Deep Learning in Image Processing
Authors: Zhang Songchun , Zhang Zihao , Qiu Juliao 
Published: April 2020

Abstract
The rapid development of Internet technology has made the whole society enter the era of big data. In recent years, the development trend of artificial intelligence and machine learning has also risen sharply. Informatization has become an important feature of the current era. As an indispensable common information carrier, images not only facilitate people’s communication, but also promote the development of deep learning processing image technology. Based on this, this paper analyzes the application of computer deep learning in image processing. Firstly, the deep learning is summarized, its concept and origin are briefly introduced, and then the technical classification, development process and processing purpose of image processing are expounded. Finally, the application of computer deep learning in four aspects is analyzed in detail in image recognition, image denoising, image classification and image enhancement, and it has certain significance for promoting the research and application of deep learning.
Research on the Development Status of Artificial Intelligence and Its Application in the Internet of Things
Authors: Gao Xiang , Li Qixuan , Liu Fengrui 
Published: April 2020

Abstract
With the rapid development of science and technology in recent years, artificial intelligence has been gradually applied to all aspects of people’s lives, which has greatly promoted the development and application of the internet of things technology. The internet of things has enabled information exchange between people and things, things and things, the artificial intelligence technology has greatly expanded the application scope, application depth and intelligence of the internet of things. Based on this, this article analyzes the development status of artificial intelligence and its application in the internet of things. First, it gives an overview of artificial intelligence, introduces its concept and implementation, and then analyzes the development status of artificial intelligence, including the development difficulties and future development direction. Then introduces the concept, classification and key technologies of the internet of things, and finally explains the application of three aspects in the internet of things in detail. In the context of today’s information globalization, it is of practical significance to strengthen the research on the application of artificial intelligence in the construction process of the modern internet of things.
Experimental Study of Influence Factor Based on Principal Component Analysis to Frozen Earth Thaw Settlement
Authors: Yuan Jiaqi , Wang Wei , Xia Weiyan 
Published: April 2020

Abstract
Thaw settlement property of seasonal frozen earth has great effect to buildings; the grading of thaw settlement can accurately reflect the thaw settlement grades of frozen earth and judge the thaw settlement character of the frozen earth. Taking silty clay and sand of Changchun Area as research object, the article conducts experimental research to moisture content, dry density, plasticity index and initial temperature of freezing; the article adopts principal component analysis method to conduct analysis to the experiment and gets the weighing of all influence factors to thaw settlement property, ie., by calculating the comprehensive scores of all influence factors, we get its incidence to thaw settlement. The result shows that: the primary and secondary relations that affect thaw settlement property factor of silty clay are: moisture content>initial temperature of freezing>plasticity index>dry density; the primary and secondary relations that affect thaw settlement property factor of sand are: moisture content>initial temperature of freezing>silt content>dry density;the comprehensive score ranking got by principal component analysis method can reflect the ranking of thaw settlement property grading to some extent, which provides theoretical foundation for the further deepening of recognition for thaw settlement property.
Research on Smart Antenna System Based on Beamforming Algorithm
Authors: Wang Weijiang 
Published: April 2020

Abstract
As the most important element of mobile communication, antenna is the component that radiates and receives electromagnetic waves.The performance of the antenna plays a very important role in the overall performance of mobile communications.Due to the increase in user demand, mobile communication systems are increasingly demanding antennas.In this paper, the composition and principle of the smart antenna system are analyzed. The smart antenna system is composed of an antenna array, a group of beam forming networks and algorithms. Compared with the antenna of the traditional antenna, it has no interference between signals and reduces. The characteristics of external interference and noise, and improved signal coverage, the research results show that smart antenna technology will provide the best service for future mobile communications.
Analysis on Combustion Process of a 396 Series Diesel Engine with Flat-top Convex Basin Combustion Chamber
Authors: Liang Yu , Zhou Liying , Xu Mingfei , Yao Guwen 
Published: April 2020

Abstract
The 396 series diesel engine has been widely used in many fields in China. The combustion process of the 396 series diesel engine with flat-top convex basin combustion chamber is analyzed by using the computational fluid dynamics software FIRE, and a 3D combustion model was established. The fuel spray, ignition start point, combustion pressure, combustion heat release rate, average temperature in cylinder and NO emission were compared and analyzed when the 5-hole, 6-hole and 8-hole uniformly distributed injectors were adopted. When injectors with different injection holes are adopted, the ignition delay period is basically the same and the fire occurs in the same place. The proper number of injector hole shall be selected to enlarge the space area occupied by fuel spray. The 6-hole injector is featured by higher pressure in the combustion cylinder, higher average temperature, better combustion process, higher thermal efficiency and higher NO emission. This research result provides a basis for selecting suitable injector for the 396 series diesel engine with flat-top convex basin combustion chamber.
Urban wetland in ho chi minh: an investigation of plant diversity and implications for sustainable urban development
Authors: Phi Pham Hoang , Long Nguyen Van 
Published: April 2020

Abstract
Urban wetland has played an important role in creating a live well environment for people and creatures. The rapid urbanization was considered to be the main cause of narrowing wetland area instead of impervious surfaces and construction areas. Thu Thiem is an only remaining wetland in Ho Chi Minh metropolitan where is facing a series of urban problems such as urban heat island, air pollution episodes and flooding. This research aims at investigating plant diversity in the entire Thu Thiem wetland area covering various landuse. The findings show that plant species of Thu Thiem is considered to be diverse with 137 species of tracheophyta plants of 121 genera, 58 families with dominant species. The Shannon diversity index is 3.36, 3.6 and 4.11 for wetland located in forest land-cover, agriculture land-cover, and bare soil respectively. The simultaneous existence of both brackish and freshwater plant species was also found in this research area. In addition, water quality in 75 investigation points of Thu Thiem wetland was analysed based on modern physicochemical method. Water quality index shows that this area has been organically polluted. Based on these findings and ecological function of an urban wetland, various suggestions have been proposed for sustainable development strategies, design and planning which aim at mitigating the various urban problems e.g. water pollution, flooding, ecological landscape and urban life in the metropolitan of Ho Chi Minh.
Research on water inrush and mud inrush from water-rich fault fracture zone of deep tunnel in mountainous area
Authors: Guo Yanhui , Ma Mengxiang , Rao Biyu , Lu Jincai , He Jin 
Published: April 2020

Abstract
Taking the potential risk of water and mud inrush in the construction of a water conveyance tunnel of a hydropower station as the engineering background, based on the field investigation and data collection, the whole process of tunnel construction is simulated and analyzed by using 3D finite element Midas. The results show that because the tunnel passes through the strong water rich fault fracture zone, the filling material in the fault fracture zone has obvious stress concentration under the coupling action of high stress, high pressure seepage and construction disturbance, and the displacement of the filling material has increased significantly. After the fault fracture zone is exposed, the seepage speed has increased significantly, indicating that water and mud inrush disaster has occurred here. It is suggested that when the tunnel passes through complex water-rich fault, monitoring and early warning and excavation support measures should be strengthened to prevent water and mud inrush accidents. The research results have a certain guiding role for the safe construction of the tunnel project.
Comparative Performance Analysis of Different Travelling Mechanisms Based on RecurDyn
Authors: Tang Shufeng , Guo Zirui , Wang Guoqing , Wang Xu 
Published: April 2020

Abstract
According to the characteristics of different travelling mechanisms of the robot, the kinematic equations of wheeled mobile robot and tracked mobile robot are established by using the kinematic theory; the tire system and the triangle track system are established by using the multi-body dynamics simulation software RecurDyn, and the simulation analysis is carried out under the road conditions such as over the boss, according to the principle of single variable; manage the data, and we can get the difference of the robot’s performance in obstacle surmounting, speed and stability. The results show that when the mobile robot adopts the travelling mechanisms of wheel shoe combination, it can improve the overall motion performance, and provide a new idea and direction for the future design of the travelling mechanism.
Research on Classification and Recognition of Object Image Based on Convolutional Neural Network
Authors: Wang Xianlun , Yang Zuomin 
Published: April 2020

Abstract
Image recognition and classification using a convolution neural network is an important application of image processing. How too reasonably to design the convolutional layer of the convolutional neural network, the number of hidden layers and optimize the parameters of the convolutional neural network to ensure high accuracy and efficiency in image recognition and classification are an extremely important part. The core of this thesis is the model design and parameter optimization of deep convolutional neural networks. This paper mainly designs, implements, optimizes and adjusts the model structure of the convolutional network of Tensor Flow framework platform. We redesigned the convolutional neural network model to a depth of 19 layers and used two data sets for training, testing and parameter optimization. Experimental results show that the convolution neural network models presented in this paper is superior to other neural network models in accuracy and efficiency of image recognition and classification, and has a good guiding role in solving practical engineering problems.