bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Brief Analysis of GAN Variants on Image Classification and Generation
Authors: Zhu Mingjing 
Published: March 2021

Abstract
Recently, the Generative Adversarial Network (GAN) has attracted much attention in a large range of applications, such as image classification, plausible image generation and image completion. Lots of GAN variants have been proposed. This paper focused on two popular GAN variants, including GAN and Auxiliary Classifier Generative Adversarial Network (ACGAN) and made a comparison between them. The experiment on CIFAR-10 and anima dataset shows that ACGAN can perform better than original one with better accuracy. Furthermore, we find ACGAN has a worse inception score (IS), which indicates that ACGAN is not capable of generating realistic pictures.
The Construction of Blended Case Teaching Model in the Information Technology Environment
Authors: Cong Han , Lili Chen 
Published: March 2021

Abstract
In the traditional education teaching model, the case teaching has been widely adopted by teachers due to its many special advantages. However, case teaching also has certain limitations and scope of application throughout the education stage. Only by continuously optimizing the traditional case teaching model can its limitations be broken through. Throughout the education process, the concept of blended learning can be fully used for reference to construct a blended case teaching model based on the information technology environment.
Tool Qualification Requirements Comparison and Analyses Between RTCA/DO-178B and RTCA/DO-178C+DO-330
Authors: Liu Jianfang , Zhang Xinai , Zhao Yi 
Published: March 2021

Abstract
The RTCA/DO-330 “Software Tool Qualification Consideration” is released after the RTCA/DO-178B was widely used for tool qualification in the latest 20 years. In the RTCA/DO-178C collection, the RTCA/DO-330 is used together with RTCA/DO-178C to define the tool qualification requirements for airborne software development. This paper compares and analyses the different requirements in RTCA/DO-178B and RTCA/DO-178C+DO-330 to provide an indication of what are the new requirements and what has not been changed. For those unfamiliar with the tool qualification requirements in RTCA/DO-178C and RTCA/DO-330, this paper serves to provide an entry point to this new certification guidance.
Research on the Integration of Corporate Financial Accounting and Management Accounting under Big Data and Block Chain
Authors: Zhong Mingjing , Fan Tingting 
Published: March 2021

Abstract
In the context of the information age, big data technology and block chain technology are currently rapidly developing technology types. The application of these two technologies in the accounting industry can greatly promote the development of the accounting industry. Big data technology is conducive to increasing the digitization of accounting information. It can promote the digitization of original financial information and non-financial information, thereby expanding the scope of management of financial staff. In the information age, it is essential to ensure the reliability of accounting information. False accounting information will affect the business management strategy of the enterprise to a certain extent, thereby affecting the long-term development of the enterprise. The effective application of block chain technology can improve the efficiency of accounting data analysis. Therefore, in the current development of the accounting industry, companies need to study the specific application of big data technology and block chain technology. Companies also need to analyze specific strategies in the process of integrating financial accounting and management accounting under the background of big data and block chain technology. Only in this way can the reform and innovation of the accounting industry be promoted.
Multimode Generative Adversarial Networks for Sequence Data Generation
Authors: Kang Weijie , Xue Junjie , Xiao Jiyang , Zhu Haizhen , Li Jianfeng , Li Changjun 
Published: March 2021

Abstract
As a new type of artificial intelligence technology, generative adversarial network (GAN) has good data understanding and generation capabilities, and has a wide range of application prospects in the fields of image and speech. However, due to the lack of prior knowledge, its training process is less robust and prone to occur the pattern ignore. Its development is restricted to a certain extent, and its application scope still needs to be expanded. To solve the above problems, this paper introduces a knowledge confidence multimode GAN (KC-MGAN) algorithm, calculates the confidence of the input data through the reasoning method, and then puts the confidence and the input data into the GAN system to generate new sample data. During the training process, the confidence of the input data is continuously calculated, while the generated data samples are continuously evaluated. The training process will end until the GAN system reaches a stable condition. Finally, this paper takes the generation of UAV flight trajectory data as an example to verify the effectiveness of the proposed method. Some explorations have been made for the application of data generation and GAN’s training mode with the prior knowledge.
Analysis of fuzzy priority queues using heptagonal fuzzy numbers
Authors: Subashini N , Anusheela N 
Published: March 2021

Abstract
In this study, a procedure to find the various performance measures in terms of crisp values for non-preemptive priority queuing system, in which the arrival rates and service rate are heptagonal fuzzy numbers has been proposed. DSW algorithm is used to define membership functions of the performance measures of priority queuing system. The α - cut representation of fuzzy sets in a standard interval analysis is used. The validity of the model is checked by a numerical example.
Breast Cancer Detection Using Deep learning and IoT Technologies.
Authors: Salvi Siddhant , Kadam Ameya 
Published: March 2021

Abstract
In today’s world fostering health is of utmost importance. The prevalence of health issues has posted a serious burden on the doctors across the globe and because of this treating every patient efficiently becomes difficult. To ease the burden on the doctors there have been significant revolutionizing ideas that has changed the healthcare industry. With the advancements in computer technology, accurate and faster results can be generated and accordingly the patients can be treated. Detection of cancer in early stages is still an issue in the healthcare. According to the World Health Organization, the diagnosis and eradication of cancer cells can be done, if they are detected in their early stages. Hence, to mitigate the issues pertaining to cancer, early detection of cancer cells is must. Of all the different types of cancer the patients being affected with breast cancer is at the top. Many women are vulnerable to breast cancer and hence the detection of those cancer cells becomes important to eradicate them from the patient’s body. According to the WHO, around a million women died in 2011 because of breast cancer and this issue is burgeoning. Breast cancer is the second most common cancer in women and men worldwide. In 2012, it represented about 12 percent of all new cancer cases and 25 percent of all cancers in women.Breast cancer enhances when cells in the breast begin to grow out of control. These cells usually form a tumour that can often be seen on an x-ray or felt as a lump. The tumour is malignant (cancer) if the cells can grow into (invade) encompassing tissues or spread (metastasize) to far off territories of the body. The survival from breast cancer is also less. This paper tries to put forward a solution that could help the patient determine whether she is vulnerable to breast cancer at an early stage itself so that with proper treatment, the breast cancer cells can be eradicated.
Features of Mechanical Product Instruction and Its Translation Strategies
Authors: Wang Mingliang 
Published: March 2021

Abstract
Mechanical product instruction is a kind of application writing used to introduce the performance, specifications, use and way of maintenance about specific mechanical products. With adaption theory as its guiding theory, this paper offers a contribution to the area of the translation of mechanical product instructions. The translation of mechanical product instruction serves the very purpose to provide some information about products known to the public, and to draw consumer’s attention and inspire their purchasing desire. Guided by this purpose, the translators should conform to some criteria and employ proper strategies to produce a relatively perfect translated text.
Discussion on the technology of high voltage cable for hybrid electric vehicle
Authors: Duan Qian , Feng Chao , Xia Lei 
Published: March 2021

Abstract
Hybrid drive system is one of the technical directions of future vehicle development. The design of high-voltage cable is the key technology to ensure the reliability and safety of the system. In this paper, the differences and difficulties of high voltage cable design between hybrid vehicle and traditional vehicle are studied. Besides, the electromagnetic compatibility and sealability of cable under high voltage are also discussed.
Identification of modal parameters of response signals in the white noise excitation with harmonics based on cepstrum
Authors: Deng Haiyan , Wang Ting , Deng Congying , Zhao Yang , Zhang Zhuzhu 
Published: March 2021

Abstract
Operational Modal Analysis (OMA) makes up for the shortcomings of the traditional experimental modal analysis based on known excitation-response and only needs to identify the structure’s modal parameters based on the vibration response signal of the structure. The OMA method is mostly based on white noise or random excitation. However, for rotating parts, the excitation is often not ideal white noise, and there are standard harmonic components caused by periodic signals. Without processing the harmonics, using the working modal analysis technology to identify the modal parameters is easy to produce false modal information. In order to study the recognition of modal parameters with harmonic excitation, in this paper, the three-free spring-mass-damping model is used as the research object to apply white noise excitation with harmonics, and the method of cepstrum editing is used to remove the harmonics. The Covariance-Driven Stochastic Subspace Identification (SSI-COV) method is used to obtain the structural modal parameters. The simulation results show that using the cepstrum editing method to filter out the harmonic interference components before using the working modal analysis technology to identify the modal parameters can effectively obtain the real modal information.
A surface crack recognition and repair system for small and medium-sized bridges
Authors: Shan Qingjie , Yang Yanfang , Xie Yufei , Tu Mingxi , Tan Xiaolong 
Published: March 2021

Abstract
As an important part of transportation, bridges play an important role in the national economy. As the number of bridges continues to increase, their maintenance and repair tasks continue to increase. In order to solve the problem of limited application scenarios and high cost of existing bridge maintenance vehicles, this paper proposes a surface crack recognition and repair system for small and medium-sized bridges, which is low in efficiency and affects traffic. It uses survey UAVs to collect bridge surface defect information, uses image processing technology to identify cracks, and the maintenance vehicle automatically navigates to repair the bridge deck crack at the location of the crack.
Research and Implementation of New Energy Vehicle Servo Motor EMC Testing System
Authors: Li Peipei , Deng Qingjun , Zhao Yi , Hu Jianyu , Liu Yong , Zhao Ying 
Published: March 2021

Abstract
This paper studies the research status of electronic and electrical parts of new energy vehicles and analyzes the working principle of new energy vehicle servo motor electromagnetic compatibility (EMC) test device. Then developed a general EMC auxiliary test system for vehicle servo motor. The test result curve of the auxiliary test system is presented. The results show that the entire auxiliary system meets the requirements of standard test methods. And it can provide EMC testing services, technical consulting services and EMC comprehensive solutions for component manufacturers.
Research on Performance Optimization of Electric Vehicle Based on Multi-objective Immune Algorithm
Authors: Zhao Fanfan , Fei XU , Luo Qiang 
Published: March 2021

Abstract
Aiming at the shortage of power and economy of a pure electric vehicle, the multi-objective immune algorithm is adopted to optimize the power index and the economy index with the maximum speed, 0 ∼ 50km / h and 50 ∼ 80km / h acceleration time and climbing slope as the power index and the endurance mileage as the economy index. In this paper, the main reducer ratio, the first gear ratio and the second gear ratio of the transmission are taken as variables, the dynamic and economic equations are taken as objective functions, and the multi-objective immune algorithm is used to obtain the three variables and other parameters satisfying the optimization of the function. Through the use of pure electric vehicle simulation software ADVISOR to input the optimized matching parameters, select 0∼80km/h and NEDC working conditions, and set the climbing and acceleration parameters, the simulation results show that: the maximum speed is increased by 22%, the acceleration time is increased by 5.8%, 21.4%, the climbing slope is increased by 22%, and the endurance mileage is increased by 3.1%.
Influences on very fast transients induced on secondary cables of GIS substation
Authors: Wu Hengtian , Fang Weiran 
Published: March 2021

Abstract
In order to protect the secondary equipment of gas insulated switchgear (GIS) substation, study on the very fast transients (VFTs) induced on secondary cables during the disconnector operations of GIS is developed. Based on the custom-designed experiment platform which can produce VFTs, the influences on VFTs including are discussed and some protections are proposed. The regularity of the influences is given through simulation including the GIS size, the soil resistivity and the loads. The measures to protect secondary equipment from the VFTs are suggested.
Mathematical modeling and fault tolerant control of uav with wing layout
Authors: Chen Jie , Lin Jianxin 
Published: March 2021

Abstract
As the flying wing layout unmanned aerial vehicle (uav) extensive research and task environment increasingly complex, Yu Feiyi layout unmanned aerial vehicle (uav) for fault tolerant control gradually become the main technical means of the flight control, according to the established mathematical model of the flying wing layout of unmanned aerial vehicle (uav) set the actuator failure effect, with adaptive fault-tolerant algorithm, is given for unmanned aerial vehicle (uav) horizontal lateral movement in the MATLAB/simulink, realize the rapid and stable, the control command and response to complete the fault-tolerant control of flying wing uavs.
Decoupling of a 3D-force flexible tactile sensor
Authors: Li S , Zhang Y , Meng F , Chu Z , Pan H 
Published: March 2021

Abstract
Due to the frame structure of the three-dimensional force sensor which is made of pressure-sensitive conductive rubber, its output data is coupled seriously. To solve this issue, the force-applied model of the sensor is established based on the wire resistance model, which provides a theoretical basis for sensor dimensionality reduction and decoupling. In this paper, the Cartesian coordinate system is established to realize the judgment of the direction of the three-dimensional force applied on the senor, and the sensor output data is decoupled using the least square method. According to the experiment result, the measurement error of the sensor is small and the decoupling method is proved to be suitable.
Analysis of Virtual Impedance Control Characteristics of Microgrid Power Supply
Authors: Ma Tianyi , Huang Bo , Zhang Yuan 
Published: March 2021

Abstract
In order to solve the power decoupling problem of micro source, virtual impedance control is widely used in micro source. In this paper, the virtual impedance control is analysed in detail, and the equivalent circuit model of micro-source system using virtual impedance control is established. The effect of virtual impedance control on micro-source system is analysed from three aspects. The influence of virtual impedance on the output voltage of micro-source is analysed by calculating the output voltage of micro-source in synchronous rotating coordinate system. A small signal model of the system is established according to the droop control characteristics of the micro source, and the influence of the change of virtual impedance value on the stability of the system is analysed. Finally, the simulation model of micro-source system is established, and the analysis results of this paper are verified based on the simulation model.
Analysis and Research on the Influence of Sonar Dome on Ship’s Underwater Electrostatic Field
Authors: Chen Qingjie , Jiang Runxiang 
Published: March 2021

Abstract
This paper firstly analyzes the influence of the sonar dome on the ship’s underwater electrostatic field in theory, and then uses boundary element software to simulate and analyze this kind of influence. It is found that the sonar dome can be used as a cathode to participate in the electrochemical corrosion of ships, forming a “propeller-hull-sonar dome” corrosion system. In this case, the “dubble compensation anode” method is proposed in order to control the electric field signature, and the effectiveness of this method is verified by the boundary element simulation software.
Multi-aircraft cooperative detection strategy based on formation
Authors: Xu Shan , Zhang Ke , Wang Pei 
Published: March 2021

Abstract
A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.
UKF based high-precision data fusion approach of orthogonal IMU sensors
Authors: Zhang Xiaowen , Yuan Shuai , Wu Jian , Wang Binzhuo , Sun Yu 
Published: March 2021

Abstract
Accurate attitude angle measurement is very important for some automatic robots, but the noise uncertainty in the sensor can cause measurement error. In order to solve the problem that these pose sensors have low estimation accuracy, this paper proposes a data fusion approach using the IMU sensor including gyroscope, accelerometer and magnetometer. Through placing multi-sensors with spatial orthogonal relation, global optimization is achieved, and the UKF algorithm is adopted to fuse data. This fusion uses the gyroscope data as the state vector, and regards the accelerometer and magnetometer data as the observation vector to improve the accuracy of attitude angle measurement. The experimental result is performed to compare the proposed method with traditional method, and the proposed method can obtain better attitude measurement accuracy, which illustrates the effectiveness of the proposed method.
Overview of marine integrated axial flow pump and its control technology
Authors: Lu Xihao , Qiao Mingzhong , Jiang Chao , Peng Wei , Zhang Chi 
Published: March 2021

Abstract
Axial flow pump is an important part of the ship. It is often used as the propeller of the ship or to transport large flow of liquid, so the research on it is very meaningful. This paper describes the development history of marine axial flow pump, introduces the separated axial flow pump and the integrated axial flow pump, and discusses the development of the motor of the integrated axial pump. Because the motor of integrated axial flow pump can not be installed with high-precision position sensor, the motor is generally controlled without position sensor. It is difficult to control the permanent magnet synchronous motor in the full speed range by a single positionless sensorless control algorithm. Therefore, this paper introduces the motor rotor position estimation and control methods when the motor is running at low speed and medium and high speed. In this paper, the technology of marine axial flow pump and the control technology of its driving motor are prospected, which has reference significance for the selection and control of marine axial flow pump.
Design and Implementation of intelligent Home monitoring System based on mobile robot
Authors: Su Mingxia , Gao Shunchang 
Published: March 2021

Abstract
With the aid of Alibaba Cloud platform, this system builds a cloud database server, and uses short-distance wireless communication ZigBee one-to-many networking technology, RFID technology and Android development and application technology to realize mobile phone clients’ remote real-time acquisition of indoor and outdoor parameters transmitted by mobile robots, and a monitoring system that can be automatically adjusted. The mobile robot car walks indoors according to a predetermined track, and detects the greenhouse degree, light intensity, combustible gas concentration and other environmental parameters of each indoor location in real time and transmits them to the mobile APP terminal for real-time display. By comparing the indoor terminal parameters and set values, the home lighting, fan curtains, etc. can be automatically adjusted by mobile robot or manually adjusted by mobile APP. Finally, the system has been tested as a whole, and the test results show that the system has successfully achieved the expected goal, and the operation is convenient, with a certain market practical value.
Wearable Low-power Bio-signals Wireless Sensing Node Design
Authors: Han Liuyuanzhi , Su Yangxu , Zheng Wei , Liu Tao 
Published: March 2021

Abstract
This paper realizes the design of wearable bio-signals multi-sensing nodes through ADS1292 series ECG acquisition chip, LMT70 IoT temperature sensing chip, MPU6050 spatial motion sensing chip and HC-06 Bluetooth transmission chip, which includes real-time monitoring of three-lead acquisition of biological ECG signals, real-time display of heart rate changes and ECG, real-time monitoring of biological body surface temperature and motion state, wireless communication of collected data. The median filtering algorithm and mathematical morphology are used to eliminate the baseline drift and the 50Hz trap to eliminate the power frequency signal interference. The design has the advantages of high common mode rejection ratio, high signal-to-noise ratio, low noise, low power consumption and low cost, which meets the needs of modern portable networked monitoring devices.
Application of Direct-driven Multistage Supercharging Technology in Water Jet Propulsion Devices
Authors: Cheng Xuan , Chen Shoutian , Ouyang Wu , Zhang Yan 
Published: March 2021

Abstract
In order to solve the problems of complex transmission and low power density of water jet propulsion devices, a direct-driven multistage supercharging structure suitable for such devices is designed, and the computational fluid dynamics (CFD) method is used for numerical calculation and verification analysis. The results show that the designed structure can improve the performance of water jet propulsion devices, which is of great significance to the integrated development of such devices.