bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fire Monitoring System for Power Batteries on Ship
Authors: Wei Lan , Zhou Zhengkang , Wang Zhuoer 
Published: March 2021

Abstract
In recent years, due to the influence of policies such as environmental protection and reduction of harmful gas emissions, clean energy such as lithium batteries, hydrogen-oxygen fuel cells, and waste heat power generation technologies are being applied on ships. As the application level of new energy continues to expand, its safety issues have attracted more and more attention from society. The system collects the air pressure, temperature, humidity, flame heat radiation, and smoke information inside the ship’s power battery box, and uses the STM32 processor to determine whether the ship’s power battery has a fire hazard. This system can effectively avoid the thermal runaway of the power battery, detect the thermal runaway at an early stage and actively respond to reduce losses, and protect the life and property safety of passengers on board.
Nonlinear distortion signal generation and THD measuring device
Authors: Zhang Jiaming 
Published: March 2021

Abstract
In order to generate nonlinear distortion when the amplifiers work in the nonlinear region, the system uses the transistor amplifiers to combine the analog switch and MCU to realize nonlinear distortion signal generation and THD(Total Harmonic Distortion) measurement device. The system is mainly composed of fixed gain amplifier circuit, multi-type signal selection circuit, class A and B complementary symmetric circuit, analog switch and microcontroller. The input signal is fixed as a 1KHz, 20mVp-p sinusoidal signal. Based on the influence of quiescent operation point on the common emitter amplifier circuit and the characteristics of Type B push-pull circuit, the analog switch is turned on or off by pressing the button of MCU to adjust the static working point and circuit structure to realize output of different types of signals. THD was calculated by sampling ADC inside MCU and FFT processing. The experimental results show that the system can successfully output sinusoidal signals and four kinds of nonlinear distortion signals (top distortion, bottom distortion, bidirectional distortion and cross-over distortion), and the peak-to-peak values are all greater than 2Vp-p. THD measurement error is less than 0.6%, which can achieve a more accurate measurement of total harmonic distortion.
Effects of Glycerol and Propylene Glycol on Smoke Release of Heat-not-burn Tobacco Products
Authors: Tong Yuxing , Xiong Yimin , Yan Qunshan , Gao Song , Le Xi , Wei Pei , Shu Hao , Wang Ziwei , Tang Xiangbin , Li Pengfei , Xiong Zhe , Wang Yi 
Published: March 2021

Abstract
Glycerin and propylene glycol are the main components of the atomizing agent in heat-not-burn tobacco products (HnB), which affect the smoke release of HnB significantly. In this study, the roles of the glycerin and propylene glycol as the atomizing agent on smoke release of HnB were studied by using a fixed-bed reactor system. The effects of glycerin to propylene glycol ratio in the atomizing agent, and the content of atomizing agent in the HnB were investigated. Gas chromatography-mass spectrometer (GC-MS) was used to analyze the condensable components in the released smoke, and gas chromatography (GC) was used to analyze the gaseous products. The results showed that glycerol could promote the thermal cracking of tobacco and smoke release during pyrolysis. The amount of smoke was the largest when the glycerol ratio was 60%, meanwhile the nicotine content in the smoke was also the highest. When using the glycerin and propylene glycol mixture as the atomizing agent, the amount of smoke and concentration of nicotine and CO in the smoke were increased when the content of atomizing agent decreased in the HnB. The results indicated that the interactions between glycerin and propylene glycol, and the interactions between the atomizing agent and the tobacco were both existed during smoking, which could change the characteristics of the atomizing agent and the smoke release property of HnB.
Research on the Development of Emei Martial arts Tourism Project Based on Environmental Protection
Authors: Wang Yahui 
Published: March 2021

Abstract
Environmental protection, Emei martial arts, tourism project development.
Under the call of vigorously developing ecological green tourism and environmental protection, the construction plan of tourist attractions has become an important means to enhance the local economy and popularity. The planning and construction of tourist attractions, municipal supporting facilities, and public service supporting facilities have been greatly improved, but the surrounding market towns However, there is a clear gap with tourist attractions in these aspects, and it fails to form a good symbiosis and mutual benefit with tourist attractions. To a certain extent, this has had a great negative impact on the market town’s land, municipal transportation, resource development and industrial development, and the market town’s spatial layout. From the perspective of environmental protection, the research on the combination of Emei martial arts and tourism can provide a theoretical basis for the inheritance of Emei martial arts and the tourism planning of Emei Mountain, and fully embody the concept of mutual promotion of Emei martial arts and Emei Mountain tourism. At the same time, find out the difficulties and problems faced by the development of Emei martial arts and Emei Mountain tourism, and provide a reference and practical basis for the mutual promotion of Emei martial arts and Emei Mountain tourism.
Facile preparation of hierarchical CuO nanostructures as a integrate binder-free anode for high-performance lithium-ion batteries
Authors: Wang Jianbin , He Shaoqing , Zhang Peng , Kang Zejun , Zou Daijiang , Xia Lina 
Published: March 2021

Abstract
Novel CuO hybrid nanostructures composed of one-dimensional (ID) porous carbon nanofibers and two-dimensional (2D) graphene nanosheets have been fabricated with the help of electrospinning technique, which is denoted as CuO@PCNF/GN. The microstructure and morphology of the CuO@PCNF/GN were investigated by X-ray diffraction and transmission electron microscopy. The electrochemical performances of the as-prepared materials as a novel bind-free anode for lithium ion battery (LIB) were investigated. The CuO@PCNF/GN electrode exhibited high discharge capacity of 665 mAh g−1 after 60 cycles at the current density of 100 mA g−1. Even at 800 mA g−1, the discharge capacity of the anode could still maintained at 443 mAh g−1. The excellent electrochemical properties of CuO are greatly related to the unique 3D interconnected structure of continuous PCNF and GN, which enables efficient electron/ion transport and migrate the volume change of active CuO materials.
Research on physical experiment teaching reform based on Internet Environment
Authors: Zhan Shuying , Wu Jing 
Published: March 2021

Abstract
Based on the Internet environment to carry out physical experiment teaching research, with the wide application of computer technology and the wide spread of Internet technology, normal schools in the training of physics teachers, need to carry out scientific reform of their experimental teaching, to ensure that the core literacy of students can be more effectively cultivated. This paper first analyzes the important value of experimental reform, and then on this basis, further explores the specific strategies of experimental reform.
Research on the impact of Internet technology development on China’s industrial economic development
Authors: Wu Guanghua 
Published: March 2021

Abstract
In the process of rapid development of modern science and technology, Internet technology has been greatly developed, which has brought great influence on China’s industrial economic structure. All walks of life must pay more attention to it. This paper first analyzes the positive role of Internet Finance in the process of national economic development, and then on this basis, comprehensively explores the impact of Internet technology on the development of national industrial economy Inevitable impact.
The New Energy Material with Great Potential Positron
Authors: Wang Yixiong , Li Jinxi , Wang Wenbing , Chen Peng 
Published: March 2021

Abstract
Positron has attracted much attention in particle research for it was the first antiparticle discovered. Due to its extreme instability, positron is easy to annihilate with electron and release photons or form unstable positronium. Positron releases 1000 times more energy than nuclear fission of the same mass with no radioactive substance. As a new energy source, positron has more potential than other energy sources. With the rapid development of technology, the problem of how-to storage positron is solved gradually which makes a good foundation for annihilation of positron and electron beams. In this paper, the energy released by collision between electron and positron beams is deduced by theoretical analysis, based on the latest experimental results. The positron beam is the same energy of 10 MeV as the electron beam, which is adopt. After the pulses cross each other, the energy released is closed to 15mJ with current intensity 1020e+/s. The energy difference of different radius of pulses is studied. This work has great potential value in further research.
The Design of Single-chip Microcomputer for the Project of "Increase 485 Bus Communication Speed”
Authors: Wei Wenrong 
Published: March 2021

Abstract
The operation and maintenance of traditional substations is not timely due to the huge cost of manpower and material resources. In the context of "ubiquitous power Internet of Things", the operation and maintenance of substations uses a large number of sensor equipment. However, the traditional rs485 bus is difficult to transmit large-capacity data such as waveform curves and images in real time, and the optical fiber transmission form of industrial Ethernet will bring higher costs, which will hinder real-time monitoring. This project intends to achieve impedance matching by adjusting the resistance of the pull-up and pull-down resistors and terminal resistors, thereby increasing the communication rate of the rs485 bus. To this end, we specially designed a simple STM32 single-chip microcomputer to match the realization of the project. The hardware part of this design adopts the STM32F103RCT6 single-chip microcomputer as the main control chip, using MAX3485 as the serial port chip, and at the same time choosing the resistance and capacitance of 0805 package, using AMS1117 Packaged voltage regulator chip.
Finite Element Analysis of Subsurface Damage of Optical Glass after Grinding
Authors: Su Wei , Luo Wenhao , Dong Xianshan , Liu Renhuai 
Published: March 2021

Abstract
The interaction between abrasive particles and optical element surface can result in various forms of subsurface damage while removing the material. In order to obtain the stress distribution during optical glass grinding, the finite element analysis of optical glass grinding is carried out by using ANSYS software. The stress distribution of optical glass was obtained by establishing the grinding model of consolidated abrasive and free abrasive. The simulation results show that different abrasives have different damage degrees to the glass surface, which provides a useful reference for improving the quality of optical material processing technology.
Study of the Scanning Characteristics of On-board Reflector Antenna with 7-feed Cluster
Authors: Cao Jiadong , Wang Wutu , Song Wenchao , Chen Bo 
Published: March 2021

Abstract
In this paper, the scanning characteristics of the feed clusters are investigated using Conjugate Field Match (CFM) for a single aperture on-board reflector antenna. By calculating the receiving fields in different incoming wave directions, the variation of the scanning characteristics of the 7-feed cluster at different longitudinal defocusing distances is analyzed. The simulation results show that longitudinal defocus can improve the scanning characteristics at larger scanning angles and provide a reference for the design of starborne antennas.
Survey on Micro-nano Cluster Applications and Its Guidance, Navigation and Control Technology Status
Authors: Gao Wanying , Li Kehang 
Published: March 2021

Abstract
Nearly 3000 micro-nano satellites have been launched worldwide, and the resulting micro-nano clusters have attracted extensive attention from the international aerospace community. In order to better understand the development level of micro-nano clusters, this paper investigates some typical satellite swarm missions, summarizes the current status of guidance, navigation and control technologies for clusters, and looks forward to the development of China’s micro-nano cluster missions.
Anti-UAV Group Effectiveness Evaluation Based on Fuzzy Analytic Hierarchy Process
Authors: Su Bin , Liu Haipeng , Zhang Guocheng 
Published: March 2021

Abstract
Firstly, according to the mode of UAV fleet operation and air defense means, the model of operational effectiveness evaluation system for anti-UAV fleet is built. Then, a fuzzy analytic hierarchy process based on triangular fuzzy number to represent importance is selected to determine the weights of different indexes in the system. The validity of the model is verified by evaluating two examples, the US Nimitz and the Russian Kuznetsov. The laser weapon, high power microwave weapon and electronic jamming equipment in the Nimitz carrier have been improved for the anti-UAV fleet operation effect, which has been evaluated to be better than before.
Application of Technology-Effict Matrix and TRIZ In Innovative Design of Rotary Cultivator
Authors: Zhang Yang , Lin Haihua , Sun Chengmeng 
Published: March 2021

Abstract
In the process of technological evolution of products, some functions may evolve slowly, which hinders the evolution of products as a whole. In order to compensate for the imbalance of technological evolution and find the corresponding technical shortcomings, a product design process combining technology-effect matrix with TRIZ is proposed. Through searching and screening patents related, the target patent pool is obtained and each patent is labeled. We, at the same time, summarize the technical means and effects, construct the technology-effect matrix and deduce the design objectives by extracting the technical weaknesses. Finally, the design model is obtained through using TRIZ tool to analyze the design objectives. Taking the innovative design of rotary cultivator as an example, the technology-effect matrix of rotary cultivator was constructed and a technical weakness was extracted. Based on this, the innovative design of rotary cultivator was carried out with the objective of reducing the wear of rotary cultivator blade, and thus the feasibility of the design process was verified.
An Efficient Lane Line Detection Method Based on Computer Vision
Authors: Zhu HG 
Published: March 2021

Abstract
Current approaches of using neural networks in lane departure warning systems are expensive. And it is difficult for neural networks to process 2K and 4K images. In this paper, we use a series of image preprocessing techniques such as perspective transformation, threshold processing and mask operation to process high-resolution images and the optimized sliding window method to fit the lane lines. Compared with neural network method, we can not only reduce hardware cost, but also quickly process high-resolution images. In addition, compared with the traditional lane line detection algorithm, we extract the region of interest through perspective transformation, which not only greatly reduces computation, but also converts images into an aerial view for subsequent processing. Especially, we carry out threshold operation and mask operation after perspective transformation, which greatly improves the performance of our algorithm in a strongly interfering environment. As can be seen from the experimental results, our method has good detection effect and can be applied to various road sections in different environments.
Research on Anonymous credential based medical blockchain
Authors: Xu Pan , Wu Shaofei 
Published: March 2021

Abstract
For the current medical block chain, the access rights of electronic medical records and agent encryption are mainly controlled by permission contract. The way of protecting electronic medical records realizes the sharing of medical data, but neglects the management and protection of user identity. In this paper, this article studies the privacy protection technology of the blockchain, combined with the stealth address and zero-knowledge proof technology, and proposes a plan to weigh anonymity and security to protect the privacy of users in the medical blockchain.
Research on Traffic Information Detection of the Visually Impaired Based on Improved YOLOv3
Authors: Gao Dongying , Gao Tongyue , Shi Shaoshan , Zhang ZhongChao , Ding Zhao 
Published: March 2021

Abstract
Among the target detection algorithms, YOLOv3 algorithm has fast detection speed and high accuracy, but it is difficult to directly deploy to small embedded devices because of its high requirements for the computing power of the device. In response to this problem, this paper combines the characteristics of EfficientNet-lite network and YOLOv3, and proposes an improved model of YOLOv3 combined with EfficientNet-lite network. This model takes advantage of the small size and high efficiency of the EfficientNet-lite network to reduce the size of the model, so that it can be applied to wearable devices to help blind people traveling to detect environmental information. Experimental results show that the model greatly reduces its size and its dependence on equipment performance under the premise of a small decrease in detection accuracy.
Application of Machine Learning on NBA Data Sets
Authors: Wang Jingru , Fan Qishi 
Published: March 2021

Abstract
Machine learning is known as the most popular methodology to do prediction on large data set while NBA’s data sets consists of plentiful statistics. Since predictions of various events are important, our research would investigate whether machine learning algorithms are efficient in doing prediction on certain NBA data sets and tasks. We are focus on mainly three supervised tasks, namely: All-Star Prediction, Playoff Prediction and Hot Streak Fallacy. For Playoff Prediction, we predict the team performance by doing machine learning on two data sets consisting of distinct well-selected features and compare the result to show which data set are more suitable for the machine learning to work. The results show that advanced statistics outperform the elementary ones. For Hot Streak Fallacy, we build the model based on multiple-linear regression to address the question: is hot streak a fallacy? It turns out that there is a lack of evidence to support ’Hot Streak Phenomenon’. For the NBA Trend, we try to view how the games involve for the past decade, and analyze the correlation of playoff tickets and other data.
Intelligent Recognition of Vehicle Information in Surveillance Video
Authors: He Jia , Meng Weiwei , You Tingting 
Published: March 2021

Abstract
In this paper, a method of real-time vehicle speed and vehicle type recognition is proposed. The vehicle type recognition is based on residual network to increase the convergence speed and improve the feature expression ability, and attach the centre loss to improve recognition accuracy of similar vehicles. The speed recognition is based on moving object detection. Experimental results show that the average error of vehicle speed is no more than 5%, and the average precision of vehicle type recognition is 85%, towards minibus and cars, the precision reaches 98.7%, which is superior to the traditional recognition method.
Market Research and Design of a New Dental Medical Vehicle Based on Digital Technology
Authors: Tong Yueyang 
Published: March 2021

Abstract
Aiming at the problem that oral hygiene is often overlooked and oral treatment is often convenient, this article proposes a new type of oral medical vehicle based on digital technology. The article starts with the application range of the dental medical vehicle, clarifies the necessity of the design research, and introduces the structure and key technologies of the currently designed medical vehicle, and then introduces the working mode of the medical vehicle and the optimal path algorithm carried. Finally, based on market surveys, it is concluded that dental medical vehicles will definitely attract more people’s attention in the future, and their market demand will increase.
Research on the Method of Traffic Signal Image Detection and Recognition
Authors: Zhang Jiaming , Chen Guanyu , Guo Yuanxin 
Published: March 2021

Abstract
Traffic lights play an important role in the distribution of conflicting traffic flow, and the correct detection and identification of traffic lights play an important role in reducing the occurrence of traffic accidents. Since the 1980s, China has begun the research and development of intelligent self-driving vehicles, which have higher requirements for all kinds of traffic sign recognition. Based on the above situation, this paper has done some research on traffic light image detection and recognition, which has far-reaching significance in the field of auxiliary driving and self-driving. The technical scheme adopted in this paper first uses the initial segmentation of RGB space and HSV color segmentation to get the selection of traffic lights, and then uses the lightweight network model to identify traffic lights and finally get the information of traffic lights. The experimental results show that the recognition accuracy and speed of this scheme can meet the requirements of the actual driving process.
Study and selection of functional modules for intelligent boundary pillar systems
Authors: Pan Jicong , Xia Weiran , Min Youjia , Jia Bowen 
Published: March 2021

Abstract
With the rapid development of society, the continuous expansion of cities an d the speeding up of urbanisation, the rapid growth and destruction of all kinds of boun dary pillars is a common occurrence. Up to now, there has been little product develop ment and application of intelligent electronic boundary pillars in China, and the cost of managing open boundary areas is high because many special boundary pillars are loca ted in harsh external environments that are difficult to inspect manually, thus leading t o untimely discovery of problems and even greater losses. Therefore, a digital boundar y pillar equipped with suitable software products and high-quality hardware that can a dapt to a variety of environments has become a major need in the current boundary pill ar market.
Research on a Pedestrian Detection Algorithm Based on Improved SSD Network
Authors: Dong Cui , Luo Xiaoshu 
Published: March 2021

Abstract
When the SSD network uses an independent feature layer to detect objects, there is no connection between the layers, which leads to the problem of insufficient expression of contextual features. This paper proposes a pedestrian detection algorithm based on improved SSD network. The algorithm uses cross-layer feature adaptive fusion, and combines residual channel attention modules with different convolution rates of holes. While increasing the receptive field, this algorithm enhances important features and weakens unimportant features. Make the extracted features more directional, thereby improving the accuracy of pedestrian detection. Experiment on the improved network and algorithm on the INRIA pedestrian detection dataset, and the mixed pedestrian dataset extracted from the COCO dataset and the Crowd human dataset. The experimental results show that the average precision of pedestrian detection in the two datasets is improved by 1.7% and 4.0% respectively compared with the original network.