bluuebunny/crossref_metadata_2025_split huggingface dataset:
M-YOLO: A Nighttime Vehicle Detection Method Combining Mobilenet v2 and YOLO v3
Authors: Huang Shan , He Ye , Chen Xiao-an 
Published: April 2021

Abstract
Vehicle detection at nighttime plays a vital role in reducing the incidence of night traffic accidents. In order to further improve the accuracy of nighttime vehicle detection, and to be suitable for constrained environments (such as: embedded devices in vehicles), this study proposes a deep neural network model called M-YOLO. First, M-YOLO’s feature extraction backbone network used the lightweight network MobileNet v2. Second, the K-means algorithm is reused to cluster the dataset to obtain the anchor boxes which are suitable for this paper. Third, M-YOLO uses the EIoU loss function to continuously optimize the model. The experiments showed that the average precision (AP) of proposed M-YOLO can reach to 94.96%. And ten frames per second (FPS) were processed in a constrained environment. Compared with YOLO v3, the proposed model performs better in detection accuracy and real-time performance.
Research on the Detection Method of Information System Access Abnormal Behaviour
Authors: Zhang Linghao , Wang Sheng , Xiang Siyu , Zhang Jie , Liang Yunhui 
Published: April 2021

Abstract
The security of the information system is very important to the production of electric power companies. However, at this stage, there are still problems such as the inability to detect abnormal/malicious behaviors and traffic of the terminals in the network, and the inability to detect and deal with abnormal behaviors in a timely manner, leading to increased risks. This paper chooses to start with the detection of abnormal traffic as the research goal, and realizes the detection and classification of abnormal network traffic through the convolutional neural network algorithm to achieve the detection of abnormal behavior of information system access. It plays a fundamental role in many network security-related tasks, such as the design of a network traffic anomaly detection system, and has very important practical significance.
A Fine-Grained Data Mining Model Based on Psychometric Data
Authors: Wang Zhenzhen 
Published: April 2021

Abstract
As social development and the pace of life gradually accelerates, psychological pressure and conflict become more and more prominent, and mental health becomes an issue of growing concern for the country and its people. In order to study the relationship between people’s mental health problems and their own personal information factors, the authors use a fine-grained mining model of psychometric data. First, the model clusters user groups through the k-means++ clustering algorithm, determine which group the user belongs to, and then use the C4.5 decision tree algorithm to make predictions in the corresponding group.
Design of an automatic weighing check system for small material feed
Authors: Liu Zhaoxia , Chen Yan 
Published: April 2021

Abstract
Small material is an important part in feed production, and it is one of the keys to guarantee product quality. Nowadays, small materials are putting into small batches artificially in many feed enterprises, and the small materials are weighing mannually before putting. In order to improve the automation of the weighing and putting process of small materials, this study designs an automatic weighing check system for small materials. The system is composed of Arduino electronic development platform equipped with weighing sensor, liquid crystal display module (LCD), and relay module. The results show that the relative error of the weighing check measure is less than 0.2%, and it demonstrates that the system has realized the precise control of the weighing check of small materials, which is beneficial to reduce the work intensity of workers, and improve the automation degree of the feed production industry.
Linguistic Question-Answering Reasoning Based on Intelligent Perception of Attribute Weight
Authors: Xiao Liang , Wei Dan 
Published: April 2021

Abstract
Intelligent Question Answering System aims to realize the communication between human and machine. Based on the real data of question-answer, of front end design, and of daily chat in Chinese, this paper proposes a design method of Intelligent Question-Answering System based on deep neural network and optimizes it. Through real data from authentic view and online daily chat, the paper constructs the property weight, laying foundation for the system to play its role in the real scene such as text cleaning and word segmentation, part of speech tagging, word vector representation, word weight adjustment, etc. By using the mixed model of BOW and Skip-gram to represent the word vector, the paper describes the correlation between words and makes for the shortcomings of BOW. Meanwhile, it retains Bow’s excellent ability of discrete-feature processing.
Research on College English Teaching Model Reform Based on Flipped Classroom
Authors: Xie Jingjing 
Published: April 2021

Abstract
With the rapid development of science and technology, information technology has been widely applied in modern education. It is an urgent need to further enhance College Foreign Languages teaching reform and cultivate high-quality and versatile international talents. College English teachers should exploit and construct courses based on computer and the Internet in order to provide students with better language learning environment and condition. Flipped Classroom teaching mode actually applies modern information technology, especially the network technology, and makes College English teaching and learning unrestrictive anytime and anywhere to some extent, in order to develop towards individuality and autonomous learning. This paper introduces current College English teaching model reform trend. Then, theoretical basis of College English Flipped Classroom and methodology are exhibited. It makes quantitative and qualitative analysis of questionnaire, interview and test and discusses the results due to statistical data. Finally, it draws the conclusion that College English teaching model reform based on Flipped Classroom is feasible and effective.
RETRACTED: The Application of Journalism in the Era of Big Data
Authors: Yang Jiangkejie , Xiong Zhihua 
Published: April 2021

Abstract
The application of big data in journalism is of great significance and plays a subversive role in traditional journalism. It can also promote the development of journalism, including the paradigm transformation of news narrative and so on. It can also provide a good development opportunity for journalism. In addition, the bias of big data will also make news lose authenticity, and the bias of news will become more difficult to detect, which will make news become less objective and cause damage to news to a certain extent. At the same time, the excessive mining of individual information by news will also lead to the invasion of individual privacy and abuse of personal information. Data in and of itself is not harmful, but the absence of a set of principles for how data is applied can have serious consequences. Therefore, it is very important to establish a sound application principle of news data. of news data.
Research on data structure of intelligent watt hour meter quality data service platform
Authors: Huaiying Shang , Yan Liu , Qi Zhang , Angang Zheng , Yongjin Xu 
Published: April 2021

Abstract
This article introduces the basic situation of smart meter quality data, and designs the overall architecture of the smart meter quality data service platform based on the information requirements of the quality data of the entire chain of smart meters. And the data flow direction of each link is explained in detail. Finally, it looks forward to the further development of the platform and its application in actual business.
Research on modeling of cloud manufacturing resources selection
Authors: Hu Yanjuan , Pan Xueqiao , Wang Zhanli , Xu Xiaoxia 
Published: April 2021

Abstract
Cloud Manufacturing (CMfg) combines computing resources of the Internet and manufacturing resources of the enterprise into a large data resource pool to realize the configuration of manufacturing resources and manufacturing tasks. In order to solve the hugeness and complexity of the resource pool in CMfg, simplify the process links and save manufacturing resources, shorten the production time of enterprises and improve the production efficiency of enterprises, a model for the optimal selection of cloud manufacturing resources is proposed, which was based on production cost, production time, processing quality and other evaluation factors.
Research on Curved Layer Slicing and Spatial Path Generation Method in Five-axis Material Extrusion Process
Authors: Li Anpei , Li Lianggang , Liu Yaxiong , Cui Bin , Li Yongkang , Wang Xudong 
Published: April 2021

Abstract
The traditional additive manufacturing technology uses a plane-cutting method, and the printing path of each layer is limited to a single plane. When printing thin-walled parts, there are problems such as high surface displacement, poor mechanical properties, and the need to add support structure. The paper proposes a five-axis additive manufacturing technology using curved surface slice method. Specifically, it includes a triangular mesh vertex offset surface slicing algorithm based on half-edge data structure and a path planning algorithm based on triangular mesh adjacent topology and geodesic distance field; a series-parallel hybrid five-axis material extrusion printing device has been developed, which fully combines the advantages of the small cumulative error of the parallel mechanism and the large working space of the series mechanism. The proposed surface cutting and path planning method is used to print thin-walled spherical parts and skull substitutes. The surface roughness of the printed parts is significantly improved. The results show the correctness and feasibility of the algorithm.
Study on Improvement of YOLOv3 Algorithm
Authors: Liu Xinchao , Gan Haiyun , Yan Ying 
Published: April 2021

Abstract
In order to optimize the problem of wrong detection and missed detection of small targets in complex environment, a target detection algorithm of YOLOv3-SPP5 was proposed. YOLOv3 in the deep learning algorithm has achieved excellent detection effect in target detection, but it is not perfect in the complex environment. In this paper, YOLO detection heads were added to the overall network of YOLOv3 to improve the extraction of multi-scale information features. In order to avoid the effect of feature extraction being reduced with the increase of network depth, Spatial Pyramid Pooling (SPP) were added to each YOLO detection head to optimize the extraction of deep network features. The optimized algorithm was named YOLOv3-SPP5.With the same setting of YOLOv3-SPP5 and YOLOv3, Under the same setting of YOLOv3-SPP5 and YOLOv3, the experimental results on COCO data set show that the mAP of YOLOv3-SPP5 increases by 7.9, the Inference time and Volume do not increase significantly. The above experimental results show that the optimized YOLOv3-SPP5 algorithm is more suitable for target detection in complex scenes than YOLOv3 algorithm.
Welding procedure research of R60702 zirconium pressure vessels
Authors: Chengjun Jiang , Xiaolong Xue , Wei Wang 
Published: April 2021

Abstract
In order to improve efficiency and reduce costs, the new PAW plus GTAW method for R60702 zirconium plates used in acetic acid production unit is analyzed. The microstructure and mechanical properties are tested by PAW procedure. Through the test analysis and the measured data in the practical application, the butt joint welded by the PAW procedure can satisfy the standard requirements of mechanical properties, corrosion resistance. The success of the welding procedure qualification shows that the new PAW plus GTAW method has great advantages over the traditional GTAW method.
Design of an immersive neuro-muscle-motor rehabilitation robot system
Authors: Zhang Xingfu , Lu Yi , Meng Wei 
Published: April 2021

Abstract
Traditional rehabilitation methods neither have accurate training records and training feedback nor can they complete high-intensity and repetitive training. Moreover, the training mode is relatively dull and monotonous, which cannot mobilize the positive initiative of patients in rehabilitation training. Therefore, this article proposes a new kind of rehabilitation scheme by integrating functional electrical stimulation, virtual reality, and rehabilitation robot technology: Through the induction effect of electrical stimulation, the muscle activity can be improved as far as possible, and the rehabilitation training can be completed by using the patient's muscle contraction. Besides, the game, diagnosis, treatment, and psychological guidance can be integrated to improve the interest of training, to improve the enthusiasm of patients to participate in training, the three can coordinate to control and improve the rehabilitation efficiency.
Compressed Air Energy Storage Experimental Platform with off-grid Operation
Authors: Wen Xian-Kui , Li Xiang , Zhong Jing-Liang , Deng Tong-Tian , Zuo Zhi-Tao , Sheng Yong 
Published: April 2021

Abstract
The compressed air energy storage(CAES) experimental platform can play a role in research and training. Due to the large changes in experimental working conditions and many sudden abnormal situations, it is easy to disturb the safe operation of the power grid when it is integrated into the power grid. By constructing a three-layer compressed air energy storage experimental platform, equipped with a complete test and operation monitoring system, using multiple sets of high-power light bulbs as loads, the experimental platform can be operated off-grid. It has the advantages of simple structure, low cost, wide adaptable voltage range, easy observation of experimental results, etc., and has broad application value.
Study on Deformation Characteristics of Diesel Engine Cylinder Liner under Different Influencing Factors
Authors: Zhu Xinran , Cheng Ying , Wang Long 
Published: April 2021

Abstract
To study the influence of different influencing factors on the cylinder liner deformation characteristics, the finite element method was used to analyze the cylinder liner deformation under the pre-tightening condition of the diesel engine block-cylinder head assembly. Fourier spectrum, coaxiality, and main thrust surface inner diameter change were selected as deformation evaluation indicators to comprehensively evaluate cylinder liner deformation. The influence laws of several typical load parameters, structural parameters, and material parameters on cylinder liner deformation have been studied and sensitivity has been used to characterize the degree of influence of influencing factors on each deformation evaluation indicator. The research results can guide the evaluation and control of cylinder liner deformation under the pre-tightening condition.
Effect of modal analysis on vibration reduction of hollow aluminum alloy profiles
Authors: Qin Dezhao , Wu Binghui , Song Chang , Shan Jian , Chen Naichao , Wu Maoliang 
Published: April 2021

Abstract
Through the classification of the noise types in the train, this paper discusses the influence of the car body profile structure on the vibration reduction and noise reduction in the train compartment, introduces the principle and advantages of modal analysis in the natural frequency analysis of the object, attempts to use the modal analysis function of ANSYS software to analyze the natural frequency and mode of the complex hollow aluminum alloy profile structure, and finds out the relevant parameter changes. The influence of chemical on the overall vibration reduction and noise reduction effect of profiles.
Simulation Analysis of Vehicle Handling Stability Based on Trucksim
Authors: Li Longhui , Guo Taoyang , Xu Shujie 
Published: April 2021

Abstract
Based on the Trucksim simulation platform and referring to the parameters of the real vehicle, the vehicle body model, tire model, powertrain model, steering system model and braking system model was constructed. After the parametric modeling of the whole vehicle, the steering wheel angle step test was selected for simulation verification referring to the standards of automobile handling stability test in China. Besides, the vehicle handling stability was analyzed with changing part of the vehicle structure parameters. The research result shows that, although the response forms of vehicle motion parameters are different, they all indicate that the faster the vehicle speed is, the more obvious the vibration of vehicle parameter curve will be, and the vehicle handling stability performance will decrease accordingly. In the steering wheel angle step test, by changing the height of the vehicle’s center of mass and the front and rear wheelbases, it can be explained that reducing the height of the vehicle’s center of mass and increasing the wheelbase can improve the handling stability of the vehicle.
Classification and principal analysis of couplers
Authors: Wang Zilu 
Published: April 2021

Abstract
Microwave Technology is one of the most of important technologies in history. Microwave technology is developing faster and faster. As we can see, it is very common in our daily life. Microwave technology are used for phone, televisions, security checks and so on, which are all very important in our life. Televisions and mobile phones have become essential devices in every home. It in addition to bring people a relax and cheerful mood, but also is an important communication tool for would news and media opinion. Microwave technology has made a great contribution to our high quality of life and safe travel. With the development of society, microwave will be more and more widely used by people. This paper describes the principle and properties of couplers. The classification of couplers and the principle of couplers are studied by referring to a large number of literatures.
Research on Substitution of Fasteners in Commercial Aircraft Production
Authors: Feng Yu 
Published: April 2021

Abstract
The necessity of fastener substitution research in commercial aircraft production is analyzed. The principle of substitution of fasteners for commercial aircraft is analyzed from the perspectives of civil aviation regulations, technical requirements, operation and maintenance requirements, economic benefits, etc., and common fastener substitution scenarios are taken as examples to illustrate the positive effects of fastener substitution. The analysis believes that the reasonable application of fastener substitution in the production of commercial aircraft can effectively increase the production rate of the aircraft, and will have less impact on aircraft operations and maintenance.
Optimizing the Grinding Parameters on the CNC Milling Machine for Best Glass Edge Quality
Authors: Li Xiaoyu , Wang Minbo , Jiang Liangbao , Liu Jiaxi , Li Jiaming , Yan Yue 
Published: April 2021

Abstract
The effects of different grinding parameters on the glass edge quality and bending strength were investigated, including wheel speed, feeding rate, wheel mesh and wheel shape. The results show that bending strength and Weibull modulus increase with the increasing of wheel speed and then decrease. The grinding feeding rate has a similar influence on the bending strength and Weibull modulus. There is an optimal matching relationship between glass strength and grinding wheel speed as well as feeding rate. The bending strength and Weibull modulus increase with the increasing of wheel mesh. Taper cup wheel is more suitable to obtain a more smoother glass edge and stronger glass.
Development of an Internet of Things based Electrical Load Management System
Authors: Tedla T B , Davydkin M N , Nafikov A M 
Published: April 2021

Abstract
This paper presents an interoperable automation system that uses the Internet of Things technology for remotely controlling and monitoring electrical appliances connected to the power supply system. Transducers located inside the socket outlets collect vital information regarding the status of the electrical network. This information includes the AC consumption, appliance status, and information from the RFID tags. The sensor and actuators are integrated with a small microcontroller known as NodeMCU. This microcontroller is equipped with an onboard Wi-Fi transceiver thus data is processed and reliably transmitted from each socket outlet to a single board computer, known as the Raspberry Pi. The received information is processed and displayed on a standard web interface hosted by the LINUX based computer. The web interface has a variety of interactive widgets enabling the user to ‘talk’ to the appliances in real-time. Communication among the IoT devices is handled through a lightweight application layer protocol known as the MQTT protocol. Another unique feature of the presented system is its ability to identify various power quality issues that frequently occur in most electrical networks. The automation system contributes to the conservation of energy by increasing the awareness of the consumer on their daily electrical energy usage.
Electric equipment operation scenarios based on the results of non-destructive condition control
Authors: Eltyshev D K 
Published: April 2021

Abstract
The issues of the developing the scenarios for the electrical equipment effective operation based on information obtained by non-destructive control of its condition were investigated. The problem of equipment condition management was considered in the context of its key technical parameters analysis and its assignment to one or another category of importance. A technique for choosing the electrical equipment operation scenario in accordance with the category of its actual condition was presented, and aspects of the automation of this procedure were considered, taking into account the principles of constructing a hierarchical decisions structure. A practical example of the development of a scenario for the equipment operation based on the results of infrared control of its elements was presented.
The State Policy of Managing the Image of Engineering Professions in Young People’s Mind
Authors: Lektorova J , Prudnikov A , Dmitrieva S 
Published: April 2021

Abstract
The research seeks to address the disagreement between the government policy aimed at boosting innovation economic development and statistical indicators presenting the decreasing demand for engineering professions in general and power and electrical engineering professions in particularly among university entrants in the context of an aggravating demographic decline. The paper presents the research into a current image of engineering professions in the mind of young people: grounds for choosing an engineering academic major, employment perspectives for future engineers, job remuneration, etc. Media monitoring services enable authors to investigate the engineering profession’s image by evaluating the density of the news agenda and the most significant events in the media space. The article includes the analysis of the current state policy in the field, namely its legislative base and ongoing measures introduced by the Russian government to alleviate the shortage of engineering occupations as a global trend. The data on enterprise employees’ attitudes to their professional activities facilitates to develop an employee value job proposition.