bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved MSER Pedestrian Detection Algorithm based on TOF Camera
Authors: Wang ZiJin , Zhao YiQin , Zhao CuiLian 
Published: July 2020

Abstract
To solve the problems existing in the traditional pedestrian detection methods, such as the complexity of pedestrians wearing clothes and the change of light leading to the decrease of detection accuracy, this paper proposes an MSER pedestrian detection algorithm combined with D-NP (Double Nine-Grid). The algorithm utilizes the characteristics of high pixels of TOF (Time Of Flight) cameras and the adaptability of MSER (Maximally Stable Extreme Regions). Firstly, the depth image is subjected to hole patching, and median filtering and morphological operations are used for preprocessing. Then the MSER algorithm combined with D-NP is used to segment the image to extract candidate head regions. Finally, We perform experiments on our dataset, and the detection recognition rate of this algorithm reaches 97.26%, which can effectively reduce the impact of light, and has a good detection performance for pedestrians carrying backpacks, hats and other complex scenes.
Research on Pipeline Video Defect Detection Based on Improved Convolution Neural Network
Authors: Huang Qing Hao , Li Bao An , Lv Xue Qiang , Jin Zhang Zi , Hui Liu Ke 
Published: July 2020

Abstract
At present, the existing drainage pipeline defect detection methods cannot meet the use standards. This paper proposes an image classification method based on improved convolution neural network. By adopting multi-scale convolution kernel and splitting convolution kernel, pipeline image features can be fully extracted and accurate image classification can be realized. The data set used in this method is 6 kinds of pipeline defects collected under real scenes, including residual wall, deposition, root invasion, foreign body penetration, obstacles and hidden connection of branch pipes. Through a large number of comparative experiments, the accuracy rate of the method proposed in this paper is as high as 90.2%, which can effectively solve the complicated problem of pipeline defect classification. The method proposed in this paper has greatly improved its accuracy and efficiency, which has laid a solid foundation for efficient and accurate detection of pipeline defects.
Research on Buckling Load Prediction of Composite Stiffened Plates Based on BP Neural Network
Authors: Zhao Chengcheng , Yin Junqing , Chen Yongdang , Gu Jinyu , Du Haotian , Cheng Yunfei 
Published: July 2020

Abstract
In view of the complexity of the composite stiffened plate structure, a prediction model between the properties and geometric parameters of the composite stiffened material and the buckling load is established based on the BP neural network. Firstly, the finite element model of composite stiffened plates was established by using Abaqus software, and the buckling load under axial load was studied. Secondly, 500 experimental samples were drawn using the Latin hypercube experiment method, and the corresponding values were obtained based on the software Buckling load value. Finally, 450 experimental samples are selected as the training set and the remaining 50 samples are used as the test set to establish a BP neural network prediction model. The results show that the method of using BP neural network to predict buckling load is effective and correct.
Research on the Practical Classification and Privacy Protection of CT Images of Parotid Tumors based on ResNet50 Model
Authors: Yuan Jiantin , Fan Yangyang , Lv Xiaoyi , Chen Chen , Li Debao , Hong Yue , Wang Yan 
Published: July 2020

Abstract
Parotid gland disease is one of the main causes of facial paralysis, and parotid gland tumor is a great threat to the life of patients. The main diagnostic way of parotid diseases is imaging examination, so it is of great significance for the rapid classification of parotid image. In conclusion, 51 CT images of parotid malignant tumors and 101 CT images of parotid pleomorphic adenomas are selected as the research data set, and an intelligent and efficient machine learning algorithm is proposed for the practical classification of parotid images. At the same time, this paper also explores the privacy protection of medical images. Based on the advantages of deep learning, such as no feature engineering, strong adaptability and easy conversion, ResNet50 model in deep learning is selected as the basic network framework to achieve the purpose of rapid classification of parotid CT images. This is the first time that ResNet50 classification algorithm is applied to the practical classification of parotid tumor CT images. The results show that the accuracy of the test set converges to 90% when the model is iterated 1000 times, which also proves that this study has certain practical significance and application value for the auxiliary diagnosis of parotid gland tumor and other head and neck tumors. Simultaneously, this paper also explores the application of desensitization strategy in CT images of parotid tumors, which improves the performance of the model and also greatly protects the privacy of patients, and has a good application prospect in medical big data.
Automated Test Case Generation for Effective Spectrum-based Fault Localization
Authors: Yang Bo , He Yuze , Feng Lixing 
Published: July 2020

Abstract
Software testing is the key to ensuring software quality. Test case generation and software fault localization are two important research objects of testing. Spectrum-based fault localization (SBFL) method is a mainstream dynamic fault localization method, which inputs test cases into the program for execution and collects statement coverage information and execution results. By analysing this information, a fault report can be generated. The performance of SBFL is affected by test case quality. Therefore, this paper proposes a test case generation method based on improved genetic algorithm to assist SBFL. This method uses a small number of initial test cases to execute the program, then uses the XGBoost model to pre-process the spectrum information and generates a list of potential fault statements to guide the iterative process of the genetic algorithm. The experimental results show that the test cases generated using the improved genetic algorithm have certain advantages over the test cases generated by general genetic algorithm and the baseline test cases.
Research on Testing System for an Intelligent and Connected Vehicle
Authors: Feng Jiacheng , Song Wenxuan , Zhan Haiting , Bai Junchao 
Published: July 2020

Abstract
Due to the increase of automatic driving and network connection function, the testing system of intelligent and connected vehicle (hereinafter referred to as ICV) is quite different from traditional vehicle’s. This paper presents the testing systems of ICV which based on the technology of virtual simulation, semi-physical simulation, and real vehicle test. The testing contents including automatic driving computing platform test, perception system test, network connection and information security test, HMI and ergonomics evaluation, and road test, which covers the automatic driving function, safety, comfort and reliability. The paper introduces the integration architecture and working principles of the testing systems which involves MIL, SIL, HIL, DIL and VIL. The physical relationship of each module in the system is shown by pictures. Finally, the paper summarizes the characteristics and trends of testing system and method. The ICV testing architecture proposed in this paper offers reference for the construction of related laboratories and provide guarantee for ICV application.
Mouse Cursor Control Using Hand Gesture Recognition Based on PHOG-Improved LBP and K-NN Classification
Authors: Yi Jin , Chen Kang , Wang Jun , Ou Mingmin , Wu Yi 
Published: July 2020

Abstract
A real-time mouse cursor control system using static gestures was designed to achieve the goal of human-computer interaction (HCI) in this paper. The system uses the computer’s own camera or external USB camera to collect video data, detect and recognize gestures of people in the video, and control the cursor movement or click in real time based on the gesture. To improve the recognition accuracy of hand gesture images detection, a method of hand gesture images detection based on PHOG + Improved LBP + K-NN was proposed in this paper. In order to improve the real-time performance of the system, the system determines whether the current frame has human hands by skin color detection. When human hands are detected, Pyramid Histogram of Oriented Gradients (PHOG) features and the improved Local Binary Pattern (LBP) features are further extracted. After fusing PHOG features and improved LBP features, k-nearest neighbor classification (K-NN) is used to implement gesture recognition. Six different gestures were tested 50 times with different angles, different lights and no skin tone in the background. The experimental results show that the system has good recognition performance.
Research on Industrial Residential Buildings Based on Computer Big Data
Authors: Liu Bo 
Published: July 2020

Abstract
As an inevitable choice for sustainable urban development, industrialized residential buildings are being paid attention to and adopted by more and more countries and regions in the world. Compared with traditional construction methods, IRB has the advantages of reducing environmental pollution, improving production efficiency and ensuring construction quality. Over the past 15 years, leading international architectural journals have published a number of articles on prefabricated construction management, off-site construction management, and industrial construction. This paper studies the latest research trends in this field, and qualitatively analyzes 80 research papers published in 10 major journals from 2005 to 2020 from the aspects of research content, research methods, and core research fields (now available online). This paper USES computer big data to analyze the literature. Analysis shows that the impact of the IRB on the construction industry as a whole is increasing.
Composite Self-healing U-shaped Canal Material and Fabrication Based on Computer 3D Modeling Technology
Authors: Song Changhong , Wang Yingtao , Wang Hongbo , Zhu Guichen 
Published: July 2020

Abstract
Attributing to multiple advantages such as lightweight and excellent impact resistance, plain-woven composite self-healing U-shaped canal material has been extensively applied in various fields. As it is used as the main bearing part, the existence of cracks can significantly reduce the service performance and safety factor of the material. During the usage, the internal cracks continue to expand and accelerate the material failure. In this paper, the features of four-step weaving technology are analyzed, and the yarn trajectory is simulated by the relevant computer software based on the simulation characteristics. The computer graphics technology is used to present the 3D weaving structure. The design and implementation process of composite self-healing U-shaped canal material based on the 3D modeling technology is simulated by the computer. Based on the relationship of the weaving process parameters, simulation parameters are set in the computer software to facilitate the generation of 3D weaving models for various sizes and simulation corners. This computer simulation method allows the model to approach the real structure of woven fabric infinitely, which has implemented the characterization for the damage evolution of plain woven glass fiber composite self-healing U-shaped canal material in the in-situ shear test. The geometric information of the yarn section is obtained by scanning the image, including the long and short axis in the elliptical section of the yarn and the yarn path. Spatial positioning is performed on the defects to obtain the material defect rate by statistical analysis of its volume fraction. Statistics on the geometric parameters of the yarn are performed to establish a finite element model. Given the impact of hole defects, the finite element model with defects is established. The corresponding numerical simulation of the shear test is conducted, and the impact of defects on material failure is analyzed and revealed from the aspects of modulus, strength and damage.
Analysis on the Image Project of Hubei Local Cities under the Computer Operation: Based on the News Data of “the Hubei Daily” in 2019
Authors: Xie Chen , Qin Xiaoya , Hu Jingyu 
Published: July 2020

Abstract
The construction of the image of city is not a spontaneous process, it has strong relationship with media under the computer operation. This study collected the news reports of Xiangyang, Yichang and Jingzhou in the Hubei Daily in 2019, and conducted an in-depth analysis of the media images of these three cities by the computer calculation. It is found that Xiangyang, Yichang and Jingzhou were represented into different kinds of image, and especially, there were significant differences in the theme of reports. Based on the results, it is advisable for each city to create unique resources and to present personalized images. Meanwhile, it is also necessary to take use of the computer operation, so that a much more scientific, systematic and reasonable image project of cities could be established.
The Improvement of Teaching Design Ability of Physical Education Major Based on Computer Media Scene Teaching Video Model under the Concept of OBE Teaching
Authors: Shi ChengKun 
Published: July 2020

Abstract
The teaching design ability of physical education specialty based on the teaching concept of computer media OBE can effectively carry out the teaching, improve the teaching quality and realize the optimization of physical education teaching. The teaching design of physical education major adopts the concept of OBE and computer media situational teaching video model, which requires the diversification of teaching skills training and the establishment of a comprehensive training system. This paper firstly analyzes the teaching objectives and teaching design of physical education major in China, and then studies the influence of computer media on the teaching design ability of students majoring in physical education. Finally, it gives the strategies to improve the teaching design ability of physical education major by integrating the conceptual model and scene teaching video of OBE.
Finite Element Analysis of Badminton Engineering Mechanics Driven by Computer-aided Technical Movement
Authors: Zhou Chunli 
Published: July 2020

Abstract
Badminton is a sport carried out relatively well in the sports, recreation, and fitness programs in China. There are many basic batting techniques in badminton. Among them, the technical movements feature the short flight path, straight arc, short time, and fast fall, which are the techniques required for the attack players. Throughout the development history of badminton sports skills and tactics, in the singles and doubles badminton competitions, powerful kill movement techniques, especially back-field movement techniques, are essential means of scoring in the match. In this paper, the computer-based Ariel system and myoelectric telemetry system are used to analyze two technical movements of male players in the badminton team, that is, near-net forehand smash and far-net forehand smash, to lay a foundation for comprehensive quantitative analysis of badminton technical movements while avoiding sports injuries due to irregular movements at the same time. The potential commonalities between different athletes’ different technical movements are explored to lay a theoretical foundation for further improving the badminton technical movements.
Research on Fine Reservoir Distribution Based on Computer Modeling of Horizontal Well Data
Authors: Feng Deying 
Published: July 2020

Abstract
With the decrease of oil reserves, the difficulty of oil reservoir exploitation is increasing day by day. In this case, the development of oil reservoir research is becoming more and more important. There are more complicated continental reservoirs in Chinese oilfields, which makes the development of oilfields more difficult. The traditional way of describing oilfields can no longer accurately describe the complex petroleum geological environment. Therefore, a more efficient and detailed description of modern reservoirs is needed. Methods, using computer modeling to analyze horizontal wells and quantitatively study the reservoir conditions.
RETRACTED: The Construction of an Evaluation System for the Post Competence of College Foreign Language Teachers Based on Computer Big Data Technology
Authors: Peng Nan , Yang Gang , Wang Kai , Yang Chao 
Published: July 2020

Abstract
This paper plans to comprehensively evaluate the post capacity of college English teachers by combining the computer big data technology with the equivalent multi-level weighted index method. Through the analysis, this paper constructs the post competency index of teachers in colleges and universities, and integrates the teaching achievements, scientific research achievements, attendance results and the subjective evaluation results of students and colleagues, so as to realize the comprehensive evaluation of teachers. Teacher comprehensive working ability price. This index applies not only to college English teachers, but also to the evaluation of other college teachers.
Exploration of the Application of Mind Mapping Combined with Computer Technology in Computer Teaching
Authors: Shao Haijun 
Published: July 2020

Abstract
Objective: To explore how to combine mind mapping with computer technology in computer teaching. Methods: According to the natural division method, 39 students in the first class used the interactive teaching method of mind map, 36 students in the second class used the interactive teaching method of brainstorming to compare the passing rate of the final examination between the two classes. Results: The pass rate of class one was significantly higher than that of class two, especially the pass rate of female students in class one was 52.4% higher than that of class two. Conclusion: Mind mapping is more suitable for computer teaching in colleges and universities. We should combine mind mapping with computer technology to improve teaching quality.
Application Research of Computer Technology in Agricultural Land Use and Ecological Environment Construction
Authors: Yang Hanyu , He Ruhai , Rao Qin , Zhang Xili 
Published: July 2020

Abstract
The utilization of farmland resources has an important impact on the local ecological environment. At the same time, with the development and update of computer technology, it also provides us with more technical means in the application of agricultural land use and ecological environment construction. This paper studies the changes of land resources in the construction of new urban areas, analyzes the changes of the ecological environment in new urban areas, and puts forward the measures for the application of agricultural land use combined with computer technology and the construction of ecological environment. It is concluded that the ecological environment of the new district of a city is greatly affected by the change of land use pattern, and shows positive and negative effects in different regions.
Research on High Precision Algorithm Based on the Transformation of Computer Accounting Financial Management and the Transformation of Fractional Differential Equation
Authors: Fan Hongmei 
Published: July 2020

Abstract
With the continuous prosperity and progress of economic globalization, the continuous updating of computer technology makes our society enter the era of information technology. In the context of information technology, the management of information in various industries depends on the use of computer technology. In the process of accounting and financial management, the use of transformation and transformation helps financial managers to lay a good mathematical foundation. This kind of thought can help them to carry on the audit work more easily. In addition, the research on the algorithm of fractional differential equation can obtain high-precision numerical solution with fewer practical nodes. Its use can also improve the efficiency of accounting and financial management.
Application Research of Water Ecological Restoration Technology Based on Computer in River Channel Management
Authors: Ma Huanchun , Xiong Ying , Hou Xin , Shu Qiaosheng 
Published: July 2020

Abstract
With the rapid development of the national economy, China has completed the preliminary well-off society. However, with the development of economy, China’s water ecological resources have suffered a lot of losses. Therefore, water ecological restoration technology has become an important technology in river management, especially when combined with computer technology, it can effectively repair water bodies and improve the quality of water resources. Through the natural purification system, we can gradually purify the water quality, which will play a role in the integration of human and nature. Firstly, this paper analyzes the commonly used technology of water ecological restoration based on computer. Then, the main problems of water environment and water ecology are put forward. Finally, some suggestions are put forward.
Construction and Design of Multimedia Virtual Simulation Practical Teaching System of Ultrasound Image in Obstetrics
Authors: Liu Hui , Zhang Hui , Zhong Yi , Xin Yalan , Han Yang 
Published: July 2020

Abstract
With the non-destructive, cheap, and real-time advantages, ultrasound diagnosis is one of the indispensable imaging diagnostic techniques in modern clinical medicine. The coherent nature of ultrasound imaging results in a low signal-to-noise ratio of ultrasound images, which adversely affects quantitative analysis and diagnosis. In practical applications, ultrasound diagnosis often has disadvantages such as the varying accuracy dependent on the doctor’s experience, the image feature extraction and analysis methods lagging behind the development of imaging technology, etc. Guided by the concept of “Mix of virtual and actual reality, multivariate cooperation”, the quality of experiment teaching in obstetrics and gynecology should be improved to achieve the experimental teaching goal of obstetrics and gynecology. In this paper, the necessity and characteristics of medical virtual simulation experiments are first analyzed. Subsequently, the construction of the medical virtual simulation experiment is expounded. Finally, how to carry out the experimental teaching of gynecology and obstetrics is summarized.
Computer Simulation Research of Desk Design Based on ABC Attitude Theory
Authors: Zhang Jin , Zhang Liqun 
Published: July 2020

Abstract
In this study, researchers use quantitative variable analysis methods to describe the decomposition process of desk design by establishing desk design models. A series of purposeful and conditional processes are used to decompose the features of the desk, so as to obtain the quantitative index of the overall favourability, and provide decision makers with the analysis results of the favourability of the desk design as a theoretical basis for decision-making.
Research on the Development Model of Tourism Poverty Alleviation in Western Poor Areas Based on Computer Network
Authors: Zhou Jing 
Published: July 2020

Abstract
The dynamic mechanism of tourism poverty alleviation involves multiple forces such as government entities, tourism enterprises, local residents, non-governmental organizations, etc., make full use of the resources that may be mobilized and play the role of the government’s backbone in poverty alleviation in tourism. Stakeholders distribute benefits fairly and provide reasonable policy support. Strengthen the promotion of tourism scenic spots, build the image of national cultural tourism brands, expand the tourist source market, enhance the popularity of tourist scenic spots and use computer network technology to facilitate the development of tourism in its poor areas.