bluuebunny/crossref_metadata_2025 huggingface dataset:
Retention Using Electronic Payment Systems: An Empirical Study of Consumer’s Perspective in Vietnam
Authors: Diep Le Thi Bich
Published: March 2021

In Vietnam, electronic payment (e-payment) is growing actively, but it only accounts for a tiny percentage compared to cash payment. The findings of this study are valuable to service providers as well as the Government. To encourage consumers to use e-payment, service providers and governments are required to understand their behavior. Thereby they can improve the quality of products and services. The paper aims to identify the factors influencing the retention using electronic payment systems (EPS) through individual users’ personal experience in Vietnam. This paper proposes a combined method with qualitative and quantitative research. The qualitative method is conducted in a group discussion with 49 consumers in Vietnam. The questionnaire is sent to 349 consumers by using the convenience sampling method. The reliability and validity of the instruments are fit and show high values to be used in the actual study. Analysis of structural equation modeling is conducted to identify the impact of the relationship between concepts. The results of the study also indicate that perceived security and perceived trust are mediator role in the effect of technical protection, transaction procedure, security statement, past experience, and perceived benefit on retention using EPS. The results also show that a strong definite link between perceived security, perceived trust, technical protection, and retention using the EPS.
Data Consolidation in Global Software Development Projects: A Grounded Theory
Authors: Subbarao A , Mahrin M N
Published: March 2021

Effective coordination is a crucial aspect of successful Global Software Development (GSD) projects. Limited studies have examined coordination strategies and their related indicators. Therefore, this study focuses on assessing the coordination processes that require specific strategies and related indicators that can contribute to effective coordination. Thus, the main aim of this research is to consolidate the coordination strategies and the related indicators that were extracted from two different sources namely, Systematic Review and Semi-structured interview. Grounded Theory was used for the consolidation of these two sources. The results of this study are a set of coordination strategies and related indicators that will be used to formulate the evaluation to assess the effectiveness of the coordination processes in GSD projects.
Text and Image: A new hybrid authentication Scheme
Authors: Ariffin Noor Afiza Mohd , Abdulhalem Akram Abduljabbar , Husin Nor Azura
Published: March 2021

Nowadays authentication considered the most vital field in term of security aspects because it represents the first line of defense in total process of our assets protection. In order to get access to any data especially when they are private, authentication is required as the first step of protecting accessing our assets. Therefore, many techniques been invented to create appropriate authentication process, for example the traditional textual password technique, the graphical passwords techniques and biometrics techniques. These techniques involved a sequence of procedures all aim to three things (confidentiality against attackers, acceleration of access time, simplification of the created technique). However, the rapid growth of threats for example the shoulder surfing attacks led to invent many techniques concentrated only on the confidentiality aspect and neglected other important aspects like easiness of utilization, as a result; these techniques suffered distinctly the issue of complexity. Many techniques been proposed in order to eliminate the complexity problem without losing their confidentiality purpose, however; most of them did not succeeded. For that reason, this research present a new hybrid technique that combines the maintenance of confidentiality against shoulder surfing attacks and the simplification of utilization at the same time, our technique consist of two simple techniques but effective to solve complexity issue with maintaining the confidentiality aspect, these two techniques are the traditional textual password and the graphical password.
Driving Digital Competency Model Towards IR 4.0 In Malaysia
Authors: Khan N , Khan S , Tan B C , Loon C H
Published: March 2021

Today, fourth industrial revolution is causing tremendous uncertainty. These developments transform the way we live, and the way we work. The work environment change the job profiles and therefore requires employees with a wide range of competencies. Digital inclusion today depends largely more on competences than access to technologies. While there are challenges in getting high skilled jobs for the local workforce, the graduate unemployment rate in Malaysia was more than three times higher than national unemployment. The graduate unemployment has raised several queries on relevancy of education systems matching the industry skill needs. Industry has puzzled on skills measures to close the gap of digital skills required. Scholars and policymakers called for more research to discover the root causes of graduate unemployed. The first objective of the study is to investigate the digital skills that industry required and those unemployed graduates currently possess. Second objective is to develop the digital competency model that drives towards industry revolution 4.0. The outcome is to recommend the set of digital skills that graduates required to meet the industry expectations. This study also contributes to policy and practices as the provided competency model that can be applicable to industry 4.0 in the context of Malaysia.
The Analysis of the Facilities and ICT Applications Usage by the University’s Students
Authors: Sutrisno Sutrisno , Andre Hasudungan Lubis , Susilawati Susilawati
Published: March 2021

The applications and facilities of ICT in a university are necessary to enhance the performance, and quality of the education. As the main role of the successful use of ICT facilities, students are expecting to obtain the gratification and satisfaction in using these technologies. The study employed the UGT (Uses and Gratification Theory) as the fundamental concept to arrange the research framework and conducted a survey among 386 respondents. The result pointed out that students’ attitude, social support, and locus of control are influencing the gratification and satisfaction with the usage as the intervening variable. Findings also stated that the usage of ICT applications and facilities is influencing both the gratification and satisfaction. However, variables of demographic, community involvement and credibility have no effect on the gratification and satisfaction.
A hybrid Face Recognition Technique as an Anti-Theft Mechanism
Authors: Khalifa Othman Omran , Kashil Mohamed K. , Aisha Hassan Abdalla Hashim
Published: March 2021

This paper proposes an anti-theft mechanism uses biometric Face Recognition to identify thief along with alarming. This can be used as security for ATMs, airport’s systems, medical records, identify customers, preventing fraud and providing VIP services as well as recognizing individuals with known shoplifting convictions and video surveillance. The proposed system based on Viola Jones algorithm, Wavelet transform and Principal Component Analysis. Experimental results are given to demonstrate the viability of the proposed face recognition system with achieved efficiency is 82%.
Location Technique based on Multiple Partial Discharge Signal in 11kV Underground Power Cable using EMTP-ATP Software
Authors: Halim M I A M , Rohani N K H , Rosle N , Rosmi A S C , Yii C. , Mustafa W A
Published: March 2021

Power cables are very critical in electrical power systems as power cables failure can interrupt the electrical flow due to unexpected power failure. There are a few sorts of partial discharge (PD) estimations gadgets in the market. For instance, PD can be distinguished by utilizing Rogowski coil (RC) sensors in the disconnected procedure. The current issue PD signal does not usually occur as a single source. Thus, the analysis of multiple PD sources is required to ensure that the cable insulation is in a healthy condition. PD location technique based on multiple signals in 11kV underground power cable was conducted in this research to estimate the accurate location of the PD signal. Modelling of single power cable in a distance of 10km with the RC sensor is installed at several distances to capture the PD signal that travels along the power cable. By selecting the distance between six RC sensors and synchronous multiple PD signal, the design of the power system has been constructed by using EMTP-ATP software. Multi-point technique based on time difference of arrival (TDOA) was performed in the single line power cable to obtain the PD location. The measurement using multi-point of RC sensor technique is preferred based on the conditions due to the value of velocity elimination. Based on the results, the accurate location of PD Source 1 is detected 501 m along RC sensor A1 to RC sensor A3. In contrast, PD source 2 has been detected 2800.15 m along RC sensor A4 to RC sensor A6 with the percentage error of 0.2% and 0.0053%, respectively. The findings show that the location of multiple PD signal that occurred along the line cable can be detected accurately by using the multi-point technique and TDOA. Hence, the performance of the power system has been improved.
Structure Analysis and Optimization Design of FDM Wire Extruder Screw
Authors: Li Bin , Zhang Peng , Gu Hai , Jiang Jie , Sun Jianhua , Xu Yuanyuan , Zhang Jie
Published: March 2021

In order to improve the melt extrusion efficiency and extrusion stability of FDM wire extruder, ANSYS finite element software was used to analyze the flow field of the extruder screw. The effect of screw pitch, depth of screw groove, width of screw edge and length of metering section on velocity field, pressure field, temperature field and shear rate were studied by orthogonal test method, and the optimal combination of factors was obtained, then the optimized screw was tested and verified. The results show that when the screw pitch is 15mm, the depth of screw groove is 1.3mm, the width of screw edge is 1.5mm and the length of measuring section is 85mm, the wire extruder of FDM is smooth, efficient and safe.
Application of time-varying heat transfer model
Authors: Zhang Ting
Published: March 2021

The process of heat conduction has important practical significance in industrial production. This paper takes the central temperature of electronic components as the research object, uses the Fourier one-dimensional heat conduction equation and the separation variable method, uses Newton’s cooling law to deal with the boundary conditions, studies the heat transfer model of electronic components, and three-dimensional problems become one dimensional problem, thus providing some feasible ideas for improving industrial production.
Analysis of optical fiber differential protection based on relay protection
Authors: Fan Hongshen
Published: March 2021

In order to prevent grade-jumping tripping in coal mine distribution network, based on the analysis of the causes of grade-jumping tripping, several schemes to prevent grade-jumping tripping are compared and analyzed, and the fiber current differential protection scheme is suitable for application in working environment. In this paper, the main technology of optical differential protection, in the process of 6 KV power distribution system reform is how to apply this situation are introduced in detail, at the same time, a detailed description of the relative performance for the optical fiber differential protection, a comprehensive discussion of PCS-9613D fiber protection setting calculation and adjustment method, look forward to applying the experience of the use of short transmission optical differential protection.
Prediction of Electromagnetic Pulse Irradiation Response Based on Support Vector Machine
Authors: Liu Yifei , Wu Wei , Cheng Yinhui , Zhao Mo , Ma Liang , Guo Jinghai
Published: March 2021

Due to the complexity of electromagnetic simulation method based on the the mechanism analysis, this paper studies the feasibility of the system identification modeling method based on support vector machine for the prediction of electromagnetic pulse response of electronic equipment, and introduces the genetic algorithm for the model parameter selection. First, we use this method to verify the response of cable irradiated by the EMP. The results show that this method can accurately predict the cable response under different pulse front. Then, we use the experiment data of an UAV electronics system irradiated by the electromagnetic pulse to model and test. The results show that when using the low-amplitude field-strength data as the model training set, the identification model can accurately predict the pulse-coupling waveform under high field strength. The successful application of this method provides a simple and efficient simulation technique for the prediction of electromagnetic pulse response of electronic equipment, which has certain application prospect.
Study on Preparation and Properties of Double Hydroxide Composite Nanomaterials
Authors: Zhao Ying , Zhang Li , Shi Pengyao
Published: March 2021

The purpose of this article is to synthesize a new type of visible light catalytic composite material NF@ZnO@ZnFe-LDH. In order to select a suitable LDH composed of metal ions, we selected Ni foam (NF) with a porous three-dimensional network structure as the carrier, and synthesized NF@MN-LDH composed of different metal ions by hydrothermal method (M is Divalent metal cations, N is trivalent metal cations), LDH nanosheets uniformly supported on the surface of nickel foam are obtained. Finally, the morphology characterization of the obtained object is studied.
Flow Characteristic Analysis of CFD-based Air Filter Forward Intake Pipe
Authors: Wang Hongliang , Shi Pidong
Published: March 2021

Based on one type of heavy vehicles with air filter forward intake pipe as the research object, the flow field characteristics of air filter forward intake pipe is simulated. The original model of the flow characteristics such as pressure and velocity fields are analyzed based on the simulation results, and an improved model is proposed. Through the numerical simulation analysis of the improved model, it is proved that the internal flow characteristics have been significantly improved, and the intake resistance has been reduced, and the improved model structure is in line with the flow characteristics of the gas better.
Fire Monitoring System for Power Batteries on Ship
Authors: Wei Lan , Zhou Zhengkang , Wang Zhuoer
Published: March 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Preceding Vehicle Detection Based on Optimized Faster R-CNN Algorithm
Authors: Wang Yongqing , Cui Guochen , Wang Shufeng , Zhang Junyou
Published: March 2021

Preceding vehicle detection is still a challenge for unmanned driving technology. Deep learning has achieved great success in target detection. Among them, the Faster R-CNN algorithm is a classic representative. However, the algorithm still has some room for improvement in detection accuracy. By analyzing the problems of Faster R-CNN in the detection of occluded vehicles, taking the target detection post-processing algorithm Soft-NMS as the research object, two new penalty coefficients, inverse proportional penalty coefficient and exponential penalty coefficient, were proposed. It further improves the algorithm’s detection accuracy of the blocked vehicle in front.
Study on Infringement Identification of Art Works Based on CNN Image Recognition Technology
Authors: Chen Yan , Qu Rui
Published: March 2021

In view of the current situation where the criteria for judging the infringement of art works are still vague and the court discretionary process is highly subjective, this article introduces the working principle of convolutional neural network (CNN) which is based on image recognition technology, and uses CNN algorithm to extract and store the characteristics of related works, And use the method of cosine similarity criterion to compare and calculate the degree of similarity, to assist in judging the standard of substantial similarity, and to improve the objectivity of the criterion for identifying copyright infringement of artworks
The Summary of NEV Business Model Based on Four-Elements Model
Authors: Zhao Dongchang , Jiang Zelei
Published: March 2021

With the remolding of the automobile industry and the reconstruction of the value chain, the traditional automobile giants have embarked on the digital transformation and ecological layout of the new energy business, so the business model’s innovation and reform are imminent. This paper makes a comparative analysis of the business models of Tesla and NIO by combing the current business models of automobile enterprises in the sales and use links with the four-elements model proposed by Professors Johnson and Christensen of Harvard University. Finally, based on some auto companies’ current business models, this paper provides some new ideas for the business model innovation in the new energy business layout of Chinese auto companies.
Research on College Students’ Entrepreneurship service system based on public management environment
Authors: He Jinlian , Li Haoyue
Published: March 2021

The employment and Entrepreneurship of college students is an important aspect of people’s livelihood. Under the background of "mass entrepreneurship and innovation", from the perspective of public management, this paper discusses and analyzes the current situation and construction strategies of College Students’ Entrepreneurship service security system from the perspective of public management. This article mainly from the entrepreneurship skills training, funds and policy support measures, optimizing business environment, encouraging qualified college students to actively participate in the entrepreneurial tide, in order to provide certain reference for college students’ Entrepreneurship service.
The design and implementation of data system based on Polymorphic Graphics and text
Authors: Bai Yongbin , Zhang Zhenfeng , Huang Cheng , Wang Yang , Yue Lisen
Published: March 2021

This paper introduces a set of professional data management system based on polymorphic graphics, which is established according to the requirements of software engineering management. It introduces the key technologies of the system, such as the main function module design, three-tier architecture quick design tool, online visio file and pdf file browsing. The system has strong practicability and good user interface. It can effectively improve the current professional data management mode.
Comprehensive Evaluation of Logistic Support Capabilty of Marine control System Based on FAHP Method
Authors: Wang Guoshu , Liu Guifeng , Song Yefan , Chen Jun
Published: March 2021

The integrated control system of a certain type of ship was imported from abroad, and its independent maintenance support system has been established in China. However, due to the complex internal structure of the system, there are problems in actual use such as high failure rate and insufficient number of replacement spare parts. The application of a large number of advanced technologies and specific encryption measures makes the maintenance very difficult, and the existing logistics support capability is far It is not enough to ensure the execution of its normal tasks and seriously affects the performance of the entire ship warfare technology. To this end, comprehensively analyze the factors affecting the logistics support capability of the system, and use the analytic hierarchy process to construct an index system for evaluating factors of the logistics support capability. On this basis, the fuzzy comprehensive evaluation method is used to construct an evaluation model, combining the actual use and maintenance of the equipment The validity of the model was verified. The results show that the lack of spare parts and the shortage of repair and debugging platforms are the main factors restricting the logistics support capability of the system. This comprehensive evaluation provides a reference for guiding the rational allocation and optimization of logistics support resources, improving the system’s logistics support capabilities, and guiding the support construction of the same type of system, and has certain guiding significance for the later realization of the localization of the whole system.
Research and Analysis on the Identification Algorithm Based On the Random Near Parameter Estimation of Children’s Running
Authors: Guo Qiurong , Zhang Wanjun , Zhang Feng , Gou Xiaoping , Li Bingze , Yang Chunhua , Yang Aihong
Published: March 2021

To study the suitable heart rate of obese children with different physique in weight-loss exercise, so as to provide scientific and effective exercise for children. In this paper, a stochastic near parameter estimation and identification algorithm based on running of obese children is proposed. Based on the obese children’s weight-loss exercise,a system of random near parameter estimation and identification is established. Finally, through the MATLAB simulation analysis, the results show that the method is suitable for children’s running safety heart rate and physical quality. The simulation results verify the feasibility and effectiveness of the method.The obese children’s weight-loss children’s running exercise has a strong reference in physical exercise.
Distributed Method for the Backup of Massive Unstructured Data
Authors: Duan Junhong , Yang Bo
Published: March 2021

In order to solve the existing problems for the backup of massive unstructured data with its performance bottleneck of single server, in this paper we propose a distributed method for the backup of massive unstructured data. In the backup method, through using a combination of load balancing algorithm and distributed algorithm, the backup system assign task of backup to each production server. Multiple servers backup massive unstructured data stored in shared storage to the backend server. The backup system can make full use of the performance resources of servers in environment production, reduce the single server performance bottlenecks, to avoid the single server hunger, increased the speed of backup.
Learning material management system based on database
Authors: Wang Yanyang , Xu Xiaoxiao
Published: March 2021

In recent years, with the rapid development of Internet technology, more and more online learning methods have emerged, and the main body introduced in this article is the integration of the original offline data and the status quo of online learning and database development. Under the premise of, under the review requirements of undergraduates at the end of the direction, the design of learning materials management system.
The Seated Comfort Design of Hybrid Electric Vehicle by Multi-Objective Optimization Method
Authors: Yang Guang , Cao Yong , Tao Haiyan
Published: March 2021

The seated comfort is one of the important parts in vehicle design. The research of the second row’s head comfort and buttocks comfort of a hybrid electric vehicle is conducted by multi-object optimization method in this paper. The surrogate functions of the performances are obtained by design of experiments, and the Pareto optimal front is worked out employing a multi-object optimization algorithm. In the end it proved great improvement in the level of the seated comfort design, and the improved design performed significantly better than the initial one.
Research on Optimization Method of Originating Direct Transportation Organization
Authors: Li Lixuan , Ding Yong , Han Lu
Published: March 2021

Organizing nonstop train is one of the effective ways to organize traffic flow. This article introduces the conditions, principles and schemes of the nonstop transport organization. On this basis, this paper establishes a mathematical model with the goal of minimizing the total consumption of traffic in the loading and unloading areas and during operation. This model is constrained by the uniqueness of the plan and the restriction of direct traffic flow. This paper constructs an example to test the actual application of the model, verify its effectiveness, and explain the advantages of organizing nonstop train.