bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Vehicle Object Detection Algorithm Based on Improved YOLOv3 Algorithm
Authors: Liu Jin , Zhang Dongquan 
Published: July 2020

Abstract
Vehicle object detection is one of the important research directions in the field of computer vision. Aiming at solving the problems of low accuracy, slow speed, and unsatisfactory results of using traditional methods to detect the object of the vehicle in front of the driverless car on the road, this paper proposes an improved YOLOv3 vehicle target detection algorithm which we name it F-YOLOv3. First the multi-scale prediction network model is improved according to actual traffic conditions and efficiency requirements based on the original general object detection YOLOv3 algorithm. Then a scale prediction layer is added to improve the detection accuracy of large vehicles and improved k-means++ the algorithm is used to improve the effect of anchor box dimensional clustering and the detection speed. At last an experiment was conducted on a self-made dataset and compared with YOLOv3 in order to test the effectiveness of the F-YOLOv3 algorithm. The test results show that the improved F-YOLOv3 model has a precision mAP of 91.12% and a speed of 59FPS, which are better than the traditional general object detection YOLOv3 algorithm. Therefore, the algorithm has better performance and popularization prospect in vehicle object detection.
Crane Hook Detection Based on Mask R-CNN in Steel-making Plant
Authors: Kang Shuai , Wang Hongbing 
Published: July 2020

Abstract
This paper proposes a solution based on machine vision and deep learning for the hidden safety problems that the hook does not match the ladle trunnion correctly, which is one of the hidden dangers during the crane lifting the ladle. Mask Region Convolutional Neural Network (Mask-RCNN) was introduced to segment the crane hook and find the bottom point of the hook contour. The trunnion center point can be directly located in image by painting a special color on it. Then determine whether the hook and trunnion match correctly by calculating the angle between the horizontal line and the line connecting the bottom point of the hook and the trunnion center point. According to the experimental rsulrs of 100 test images, that the average accuracy (AP) of our methods for hook segmentation can reach 92%. And the accuary of the safety judgment algorithm has reached 96%.
Determination of Aquatic Product Growth Factors Based on PCA with Stepwise Regression Test
Authors: Zheng Yingkun , Hua Xufeng , Zhang Yu , Tian Yunchen , Xue Yangyang , Wang Manjiang 
Published: July 2020

Abstract
For the information contained in the growth data of the pearl gentian grouper, there is overlap and inclusion. When establishing the growth model of the pearl gentian grouper, it is difficult to grasp the inherent laws of the growth factors to affect the establishment of the research target model and the operation efficiency. The data dimensionality reduction method is often used in the data preprocessing stage. The Principal Components Analysis (PCA) method was used to analyze and influence the growth factors of the pearl gentian grouper The method of regression fitting optimizes the results of selecting principal components under different criteria. Experimental results show that the main growth factors of the pearl gentian grouper selected by this method can meet the needs of the construction of aquaculture growth models, and can provide a reference for reducing the dimensions of aquaculture fish growth data and the complexity of the modeling process.
The Scheduling Technology Development of Multi-AGV System in AI Era
Authors: Huo Dengya , Wu Yaohua , Wu Shasha 
Published: July 2020

Abstract
As an important intelligent transportation equipment of logistics, Multi-AGV scheduling is a key problem that restricts the operation efficiency and large-scale expansion of AGV system. This paper analyzes and elaborates three key technologies of AGV scheduling, namely Path Planning, Task Scheduling and Traffic Control Management. The method of Time Window modeling based on physical entity is superior to that based on particle motion. Finally, the trend of AGV scheduling intelligentization is illustrated by combining with the current advanced technology.
Research on Intrusion Detection Algorithm of JRNB Nework Based on Feature Weighting
Authors: Wang Kunfu , Xu Shijun , Zhang Pengyi 
Published: July 2020

Abstract
With the development of the Internet Era, the network attacks are on the rise. To some extent, the conditional independence assumption of Naive Bayes (NB) algorithm sacrifices the accuracy of classification, especially in dealing with complex network intrusion data. Aiming to solve this problem, this paper proposes a feature weighted JRNB intrusion detection algorithm. First, in order to remed for the deficiency of the equal analysis of all feature terms in Naive Bayesian algorithm, JS divergence method is introduced to measure the weight of each feature term to highlight the difference between different feature terms; Then, take into consideration of the impact of class frequency on sample classification, the reverse class frequency (RCF) is proposed to improve the calculation of feature weight and further reducing the impact of conditional independence. Compared with the traditional Naive Bayes algorithm and other popular classification algorithms, this algorithm in this paper has some improvement in detection performance.
OBD Quality Evaluation System and Control
Authors: Xue Hongshuai , Liu Zhili , Yu Xiangyang , Wei Xinmei 
Published: July 2020

Abstract
Based on the characteristics of OBD data and its role in detecting automobile exhaust emissions, the data from January to August was selected from 368 vehicles of 12 companies to establish an OBD data quality evaluation system. Based on the results of quality evaluation, a method of controlling variables was adopted in order to compare the factors that affect data quality and quantitatively analyse the relationship between different factors and data quality results, which can provide technical support for law enforcement supervision and policy development.
Synthesis of pH-Sensitive Macromolecular Micelles from Amphiphilic Star Copolymers for Drug Delivery
Authors: Yao Lin , Yu Lili , Li Li , Kou Jiahui 
Published: July 2020

Abstract
Stimuli-responsive copolymers are a significant class of smart materials extensively studied for drug delivery systems. Two novel amphiphilic four-arm star copolymers poly(ε-caprolactone)-b-poly(hydroxyethyl methacrylate) (4sPCL-b-PHMEA) and poly(ε-caprolactone)-b-poly(diethylaminoethyl methacrylate)-b-poly(hydroxyethyl methacrylate (4sPCL-b-PDEAM-b-PHEMA) with pH-responsive were designed and synthesized by a combination of ring-opening polymerization (ROP) and atom transfer radical polymerization (ATRP). The structure of the copolymers and the particle size of macromolecular micelles were investigated by FT-IR and DLS, and the controlled release kinetics of two copolymer micelles was detected using adriamycin (DOX), a hydrophobic antitumor drug. The results showed that, the both micelles have appropriate particle size and can be used for DOX carrier, the DLC of 4sPCL-b-PHEMA and 4sPCL-b-PDEAM-b-PHEMA micelles were 21.30% and 27.25%, respectively. The release process showed that, comparing to the diblock star copolymer, triblock star copolymer had more significant pH-sensitivity. The cumulative release percentage of DOX in triblock micelles gradually increased with the decrease of pH. The cumulative release percentage of 14 h at pH 2.2 was about 80%, which had significant pH-sensitivity. A pH-sensitive four-arm star copolymer was synthesized, which can be used as drug delivery system for further research.
Study on the Sustainable Development of Space in Post International Horticultural Exhibition Age from Urban Perspective
Authors: Gao Chenglin 
Published: July 2020

Abstract
International Horticultural Exposition is regarded as the “Olympic” event of horticultural culture and garden science around the world, moreover, the “harmonious symbiosis between city and nature” advocated by the Expo is the important embodiment of urban ecologicalization and also the harmonious link between city and nature. In this study, the environment landscape of International Horticultural Exposition is put under the background of city and nature, then combing and summarizing the effect of Expo development on the construction of green human habitation. At the same time, combined with the current situation of the developing experience of Beijing International Horticultural Exposition in 2019, this paper proposes that promoting regional value in natural resources of city plays a leading role in the sustainable development of space during the Post-International Horticultural Exposition Age, the construction of ecological community environment after the Expo will be a platform to alleviate and coordinate the contradiction between city and nature and it also can promote the integration of these two parts.
Research on Optimization of Rendering Efficiency of Point Cloud Data of Transmission Lines in Three-Dimensional GIS
Authors: Zou Biao , Wang Heping , Zhou Xiangxian , Jiang Wendong , Du Wei 
Published: July 2020

Abstract
In recent decades, computer graphics have developed rapidly. With the development of computer graphics, some related technologies have also appeared one after another or have made great progress on the basis of the original. 3d laser scanner obtains the point cloud data of objects in a non-contact way, and the modelling can truly restore the original appearance of objects, so it has a great impact on urban architecture, power grid design and manufacturing. This paper introduces the collection and processing of point cloud data, and optimizes the processing efficiency of point cloud data, which greatly improves the processing speed of point cloud data and the accuracy of data display. Promote the application of point cloud data in various professional directions.
An Assessment of GF-1 Fused Multispectral Images in Different Months of Spring for Mapping Quasi-Circular Vegetation Patch
Authors: Liu Qingsheng 
Published: July 2020

Abstract
The vegetation phenological information derived from multi-seasonal imagery is helpful for mapping vegetation dynamics. The previous studies indicate that the spring imagery is considered as an optimal data to map the quasi-circular vegetation patches (QVPs) in the Yellow River Delta, China. In this work, the GF-1 images acquired in different months of spring was compared for mapping the QVPs using the decision tree classifier and watershed image segmentation technique based on the brightness and greenness components of tasselled cap transformation. The result of this study recommended that the April GF-1 image with only circle-like detection rules could result in higher detection accuracy compared with that of the March and May images. In the future, more effective image segmentation algorithms and quantitative influence of image quality on detection accuracy should be considered.
Research on the Ways to Protect and Inherit Intangible Cultural Heritage in the Information Age
Authors: Guo Qinghui 
Published: July 2020

Abstract
Intangible cultural heritage is an important part of Chinese culture. With the development of the times, some problems gradually appear in the process of protecting and inheriting intangible cultural heritage, and the government and society also pay more attention to the protection and inheritance of intangible cultural heritage. In this paper, two ways are proposed to strengthen the protection and inheritance of intangible cultural heritage in the information age, that is, to strengthen the development of intangible cultural heritage tourism based on smart tourism and intangible cultural heritage campus education inheritance based on intelligent education, by expounding the significance of protecting and inheriting intangible cultural heritage and analyzing the methods and existing problems of protecting and inheriting intangible cultural heritage.
Research Hotspot and Evolution Analysis of ECG from the Perspective of Knowledge Map
Authors: Zhao Lili 
Published: July 2020

Abstract
In this paper, knowledge mapping technology is used to analyze the relevant literature of ECG research in China, and the research status, research hotspot and trend in this field are statistically analyzed. CiteSpace V is used to carry out data visualization analysis on the literature retrieved from CNKI database. Through the analysis, we can see that the research of ECG based disease diagnosis has achieved sustainable development in recent years, but the high influential authors pay less attention to the research in this field. The core of the research is mainly focused on wavelet transform, feature extraction, classification and recognition, and the research strength in this field still needs to be strengthened.
Research on the Development and Practice of Confucius Research and Study Travels in the Internet Plus
Authors: Zhang Lixia , Sun Zhongli 
Published: July 2020

Abstract
As a new mode of education, research and study travel skillfully combines the school education with the external education, and the development of practical education can quickly improve the comprehensive quality of students. It is an effective way to foster the comprehensive development of students. Built on the product of Confucius culture in the era of Internet +, it provides the possibility for the intelligent development of research and learning travel. This paper analyzes the development of Confucius research and learning travel from the aspects of “education + tourism” and “Internet +”, and the benefits it gives to students, schools and tourism enterprises. The Confucius culture-themed study tour further expands students’ learning space and improves students’ comprehensive quality in many aspects.
Research on Technical Characteristics of CDPF + SCR for China-III Heavy-Duty Diesel Vehicles Emission Retrofit Based on Remote Monitoring Method
Authors: Wang Jiguang , Xie Zhenkai , Chen Hao , Zhang Xiaowen 
Published: July 2020

Abstract
In order to study the technology of reducing heavy-duty diesel vehicles PM and Nox emission, a China-III sprinkler driving on Tianjin expressway was selected to equip with CDPF+SCR for demonstration of PM and NOx emission retrofit. By using the remote monitoring method, the vehicle speed, engine speed, exhaust temperature and pressure drop of upstream and downstream CDPF, NOx concentration upstream and downstream SCR, geographical location and other data were collected and analyzed in real time, and analyze the characteristics of CDPF passive regeneration, SCR conversion efficiency and DPF matching with SCR. The results show that :the idling speed and the middle and low speed operating conditions of the sprinkler are evenly distributed, exhaust temperature at 175∼275 °C accounts for 74%, and CDPF started passive regenerative emission retrofit at 220°C, NOx concentration after installing SCR was mainly concentrated below 800ppm,the average NOx concentration was 620ppm, and the reduction rate of NOx concentration was 51.6%.
Research on Evaluation Index of Mine Environment Rehabilitation
Authors: Wang Haiqing , Li Li , Wang Jie 
Published: July 2020

Abstract
Mine environmental rehabilitation is an essential part of the construction of ecological civilization in the new era. Effective evaluation of the degree of regional mine environmental rehabilitation can provide decision-making reference information for the corresponding work planning. A method to calculate the index of mine environmental rehabilitation was put forward in this article. It was the value of “the area of mine environmental rehabilitation” divided “the area of mine land which should be urgent rehabilitation”. The index of mine environmental rehabilitation by using the data of national remote sensing survey in 2016-2017 was calculated. The results show that the proposed evaluation method and the research results can provide a reference for mine environmental rehabilitation planning.
Research on Artificial Intelligence Customer Service on Consumer Attitude and Its Impact during Online Shopping
Authors: Li Chenzhuoer , Pan Runjie , Xin Huiyu , Deng Zhiwen 
Published: July 2020

Abstract
Currently, AI customer service is gaining popularity at a high rate, with over 92% of online shoppers having experience with AI customer service. The question is: what attitudes do consumers have towards AI customer service? A randomly selected sample of 670 consumers was surveyed and the study found that 71.5% of consumers accept or at least do not resist AI customer service. The main reasons AI customer service is so popular are that it is fulltime responsive, absolutely neutral, more objective, and represents a future trend. Nevertheless, 28.5% of consumers are still resistant to AI chatbot, mainly because they are not as relevant, effective, and smooth as a human customer service agent. Besides, there are prevalent obstacles to seamlessly bridge AI chatbots with human agents. In terms of explicitly specified AI chatbots versus concealed AI chatbots, merchants should have them specified since consumers have strong antipathy with AI chatbots disguising as human agents. Furthermore, there are differences in attitudes towards AI customer service across age and educational background. Accordingly, we recommend that, in the context of the overall improvement of service quality, to slow down the pace of AI replacing human agents, to do so in a step-by-step and orderly manner, and to give consumers adequate choice for human agents versus AI chatbots. Finally, to fully promote AI customer service, it is an essential measure to increase its media coverage and publicity.
Study on Periodic Solutions for a Kind of Predator-Prey Model with Age-Dependent and Stock
Authors: Wang Hui 
Published: July 2020

Abstract
In this paper, we consider the predator-prey model with age-dependent and stock because of human intervention. The original model is transformed into an equivalent model through a homeomorphism. The existence of a positive periodic solution is proved by using coincidence degree theory and Mawhin continuation theorem.
Comprehensive Teaching Quality Assurance with Artificial Intelligence Applications
Authors: Yuan Ye 
Published: July 2020

Abstract
Establishing the teaching quality assurance system is a key aspect to realize the cultivation objectives of talents of higher education. This paper first discusses the composition, function and evaluation subjects of the comprehensive teaching quality assurance system. Secondly, the novel techniques of applying artificial intelligence to the diagnosis and mining of teaching state information is explored in detail, which constitutes scientific evidence for continual improvement of teaching.
System Fault Diagnosis Method Based on OSDG Model
Authors: Cong Wei , Yu Hongkun , Liu Jing 
Published: July 2020

Abstract
For the difficulties of cross-link fault diagnosis in complex systems, a fault diagnosis method based on optimised signed directed graph model is proposed. First, the system structure is layered and the control bridge is used to implement a top-down hierarchical structure. The SDG is used to describe the hierarchical structure of the system, and the SDG model is also layered so the fault information is propagated unidirectionally according to the layer. The reverse search strategy based on the fault propagation matrix is used to judge the compatible path, obtain the set of candidate fault sources, use the use availability to objectively evaluate the impact of multiple fault sources to improve the efficiency of troubleshooting. The example analysis shows that the method in this paper can adapt to the fault diagnosis needs of complex systems, and has practical application value for shortening the time of system fault determination and improving the accuracy of troubleshooting.
Temporal and Spatial Pattern Characteristics of Vegetation in Qaidam Basin and Its Response to Climate Change
Authors: Du Yu’e , Liu Baokang , He Weiguo , Zhou Jianping 
Published: July 2020

Abstract
vegetation is a sensitive indicator of climate change. The spatial-temporal dynamic changes of vegetation cover and aboveground biomass and their relationship with climate factors in Qaidam Basin in recent 13 years were studied by using vegetation index. The results are as follows: (1) the total area of vegetation in Qaidam Basin increased from 2002 to 2015, with a growth rate of 644.11km2/a (R2 = 0.4919). In recent 14 years, the change of vegetation area has been increasing → decreasing → increasing → decreasing, among which the vegetation area has been increasing continuously from 2009 to 2012; (2) During the period of 2002-2015, the vegetation area of each level of vegetation coverage showed an increasing trend, and the increasing rates were 300.2km2/a, 242.8km2/a and 101.2km2/a, respectively, which indicated that the vegetation ecology in Qaidam Basin was developing to a benign trend; (3) the aboveground biomass of vegetation was mainly low-yield vegetation less than 1500kg/hm2, followed by vegetation of 1500-3000kg/hm2, accounting for the total area of vegetation The proportion is less than 10%, and the vegetation area of other grades is very small, only scattered, while the high-yield vegetation larger than 6000kg/hm2 is distributed in the southeast of the basin and the alpine mountains around the basin; (4) there is a certain coupling relationship between the climate and vegetation change in Qaidam basin, which is reflected in the positive correlation between the total vegetation area and the annual precipitation, the precipitation from May to September and the precipitation in summer, and the correlation significance of summer precipitation > may September precipitation>annual precipitation. However, it was negatively correlated with winter precipitation, but not with autumn precipitation and annual average temperature (P > 0.5).
An Optimization Control Method for Heat Transfer Model during Slab Continuous Casting
Authors: Wang Zhaofeng , Zhang Yichi , Jiang Yuting , Zhang Jiahui , Zhang Shuai 
Published: July 2020

Abstract
Solidification of continuous casting slab is a complex process including a series of phenomena such as heat transfer, mass transfer and flow. The secondary cooling process plays an important role in the production quality of continuous casting slab. In this paper, an improved particle swarm optimization algorithm has been proposed. The simulation results show that the optimized slab temperatures have more reasonable and uniform distribution. The purpose of slab quality improving is achieved and the feasibility of secondary cooling water distribution scheme is verified.
Application Analysis of Artificial Intelligence in Port Shore Power
Authors: Wu Jiangpeng , Yin Hongxu , Huang Dan , Shao Yang 
Published: July 2020

Abstract
By studying the development status, application scenarios and development needs of port electricity application and operation at home and abroad, this paper analyzes the significance of building a port artificial intelligence power business support platform for shore power operation. In view of the diversified demand of electric equipment and the emerging demand of operation service under the condition of port power grid, this paper puts forward a scheme of electric business support platform system for port power and other artificial intelligence electric equipment, focusing on the platform system architecture, external interface of the system and future expansion function, and based on the development trend of China’s ports, it will support the future port intelligent electric business The application of the platform is prospected.