bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation analysis between brain network attributes and skin electrical signals in patients with mild cognitive impairment
Authors: Yu Xiaoping , Zhu Bing , Guo Chunjie , Yang Yu , Li Qi
Published: March 2021

The aim of the study was to explore the correlation between brain network attributes and skin electrical signals in patients with mild cognitive impairment (MCI) for early diagnosis. Neuropsychological assessment for subjects and the resting-state fMRI data were collected. The brain network was constructed based on the resting-state fMRI data, and its attributes were analyzed by graph theory. Then wavelet transform was used to extract the features of skin electrical signal data. Finally, Pearson correlation method was used to calculate the correlation between brain network attributes and skin electrical signal. The results showed that brain network attributes of aLp, aλ, assortativity and synchronization in MCI were higher than those in normal control, while the hierarchical of MCI was lower than that in normal control. There were significant differences between the two groups of skin electrical signals in mean value, maximum value and minimum value. Moreover, the correlation results showed that neuropsychological assessment were correlated not only with brain network attributes but also with skin electrical signals, and there was a correlation between skin electrical signals and brain network attributes. Using skin electrical signals can provide a new early standard to assist in the diagnosis of MCI, with low cost and easy acquisition.
Test and research on suppressing fire of lithium-ion battery with water mist containing additive
Authors: Zhang Yuhang , Zhu Shunbing , Zhuang Weiqiang
Published: March 2021

In order to improve the fire extinguishing effect on lithium-ion battery fires, the paper experimented with compound solution of sodium dodecylbenzenesulfonate-dodecanol-sodium carbonate at a ratio of 3:2:2, polyfiouroalkyll betaine-alkylglycoside-potassium carbonate at a ratio of 2: 3: 3 and monoalkyl ether phosphate potassium-fatty acid ester polyoxyethylene etherurea at a ratio of 3:2: 3. The fire of the lithium-ion battery was extinguished with water mist containing additive compound solution by building lithium-ion battery fire extinguishing experimental platform. The experiment selected four different concentrations of 0.5%, 1%, 1.5%, and 2%. The results showed that the polyfluoroalkyl betaine-alkyl glycoside-potassium carbonate compound solution had better fire extinguishing effect in the early stage of thermal runaway, and the battery did not reignite. The sodium dodecylbenzene sul-fonate-dodecanol-sodium carbonate compound solution took the least time to reduce the battery temperature to below 200 °C. In the later period, the sodium dodecylbenzenesul-fonate-dodecanol-sodium carbonate compound solution has the greatest advantage in cooling rate. In the gas absorption test, the sodium dodecylbenzenesulfonate-dodecanoll-sodium carbonate compound solution has the best absorption effect on methane, and the polyfluoroalkyl betaine-alkyl glycoside-potassium carbonate compound solution releases CO. The concentration of the compound has a more obvious drop than the other two compound solutions.
Automatic splicing of Chinese single-sided shreds based on character feature and typesetting characteristics
Authors: Yang Hongrong , Wang Yunqiong
Published: March 2021

In this paper we proposed an automatic splicing algorithm for regular cross-cut single-sided shreds of pure Chinese document, which was based on the characteristics of character and typesetting. The algorithm began with extracting the characteristics including character width, character height, line height and line spacing, after which the shreds meeting the typesetting requirement were spliced according to the edge similarity. Afterwards, the horizontal projection vectors of the shreds were corrected and the shreds were clustered by row according to horizontal projection similarity. A greedy algorithm with rejection strategy was then used to complete the intra-cluster horizontal splicing of shreds based on edge similarity. The experiment results revealed that the algorithm proposed in this paper had the characteristics of both high splicing speed and high accuracy.
Self-Attention on Sentence Snippets Incongruity for Humor Assessment
Authors: Cao Di
Published: March 2021

Researches on humor identification can advocate a better understanding of human language. Many studies focused on the categorical classification problem of humor, which is less sensible to the intermediate level funny content. Previous work captured the incongruity between words but not sentence snippets. In this paper, a novel method is proposed to exploit snippet-level incongruity features from different aspects, combined with the sentence snippets representations to predict funniness scores. The experiment result shows that this model outperforms most of the competitive methods.
Geometric Artifacts Correction for Computed Tomography Exploiting A Generative Adversarial Network
Authors: Zhu Mingwan , Han Yu , Yang Shuangzhan , Zhu Linlin , Xi Xiaoqi , Li Lei , Yan Bin
Published: March 2021

Geometrical accuracy of an X-ray Computed Tomography (CT) system is crucial to achieve high quality tomographic reconstructions. Methods to correct the resulting geometric artifacts have been comprehensively described in the past few years. Deep convolution neural network is increasingly used in CT imaging, which has a great potential in image feature learning and processing tasks. In this work, a geometric artifact correction method exploiting generative adversarial networks (GAN) is developed. The U-Net structure is employed as the generator of the network to extract the CT image features with geometric artifacts. The convolutional neural network (CNN) based on image block perception acts as a discriminator for the network, further constraining the optimization of the generator. The proposed method has been shown experimentally feasible for geometric artifacts correction in circular cone beam CT by performing more accurate feature extraction. The peak signal to noise ratio (PSNR) of the corrected phantom images increased by 11.812 on average, and the root mean square error (RMSE) decreased by 9.982 on average.
The generalized convolution formula and its application are discussed
Authors: Yinshan Jiang
Published: March 2021

There are two ways to find the distribution of two-dimensional random variable function: distribution function method and convolution formula method, the distribution function method is too large; calculation is easy to make mistakes, the convolution formula method has limitations must be independent, Now let’s introduce the generalized convolution formula, The generalized convolution formula does not require independent constraints and can simplify the operation.
Low Complexity Beam Selection Scheme Based on Estimated CSI
Authors: Zhao Hang
Published: March 2021

The beam selection technology based on the discrete lens array (DLA) can greatly reduce the number of RF chains required by mmWave massive multiple-input multiple-out (MIMO) system. However, the performance of the existing beam selection schemes is on the premise of perfect channel state information (CSI). While in practical situation, accurate channel state information must be obtained by the base station before beam selection. In this paper, the channel estimation scheme based on support detection (SD) is used to estimate the state information of large-scale channel by utilizing the structural characteristics of beamspace. Then on the basis of group-iteration (GI) algorithm, we propose the group-iteration beam selection scheme based on estimated CSI. The simulation results show that this scheme can achieve the performance close to beam selection scheme based on perfect CSI, and compared with the traditional beam selection schemes, the proposed scheme also shows performance advantages.
RoBERTa-IAN for aspect-level sentiment analysis of product reviews
Authors: Dai Jingrui , Pan Fang , Shou Zhaoyu , Zhang Huibing
Published: March 2021

Accurately mining the emotional information contained in product reviews is of great significance to product sales. Existing research on sentiment analysis of product reviews often ignores the importance of modelling aspect words and context separately. Therefore, this paper proposes a sentiment analysis model for product reviews based on RoBERTa-IAN. Firstly, the context and aspect words of product reviews are transformed into low dimensional vectors through the RoBERTa pre-training model. Then, the low dimensional vector is used as the input of Bi-GRU model to extract semantic features and get the hidden representation. Finally, the attention matrices of context and aspect words are obtained by using the Interactive Attention Networks (IAN), which are used as the input of sentiment classification layer to analyse and classify the sentiment polarity of product reviews. The experimental results on the real commodity Chinese dataset show that the accuracy of RoBERTa-IAN has reached more than 90%.
The Analysis of Manufacturing Service Ecosystem’s Evolution Stability Based on Evolutionary Game
Authors: Zhang Siqi , Luo Li , Li Yue , Shan Renbang
Published: March 2021

In the process of successful establishment and development of service ecosystem organization, manufacturing companies not only pay attention to their own resources, business models and competitive advantages, but also pay attention to the positioning in the manufacturing service ecosystem and the symbiosis with other members of the system to achieve complementarity and symbiotic development of resources among members. Based on this, we take the manufacturing service ecosystem in the transformation and upgrading of the manufacturing enterprises in China as the research object, and comprehensively uses the theory of evolutionary game and ecosystem to study the symbiotic evolutionary stability of the manufacturing service ecosystem. Through simulation, we find that integrator is more sensitive to the change of rights than supplier. Our conclusions have certain reference for manufacturing companies to improve the collaborative operation efficiency of manufacturing service ecosystem.
Research on key problems of Arctic navigation safety
Authors: Yahan Hu , Minglu Ma
Published: March 2021

Arctic shipping can bring significantly potential business profit, which has become a focal point at present. However, compared to the enormous risk, related research on the safety and security issues are not sufficient. In the essay, the natural factors, such as weather, ice are summarized, and the facility insufficiency and human factors aroused by low temperature and severe ice conditions are analyzed. Besides that, the requirement of international conventions has already proposed the basic technical demand for the ship facilities and lifeboat in Arctic area. In the end, the suggestions for safety and security, providing better equipment and facilities, enhancing crew competence, decent preparations before navigation are proposed.
A Distributed Collaborative Supplier Requirements Management Method for Civil Aircraft in Whole Life Cycle
Authors: Zhang Jiejing , Zhang Xinyu , Zhang Xinai , Zeng Jiahui
Published: March 2021

In order to solve the problems of correctness and timeliness of requirement information transmission, effectiveness of requirement collaboration, management and control under the Main Manufacturer-Supplier working mode for civil aircraft, a distributed collaborative management method of supplier requirements in the whole life cycle is proposed in this paper. The definition of this method of supplier requirement distributed collaboration can carry out multi-version, multi-authority and cross regional requirement data exchange for different suppliers at different development phases, and monitor the status of data exchange based on the key elements of supplier requirement management, so as to ensure the requirement collaboration and supplier monitoring management between main manufacturer and supplier.
Research on Modeling of Aircraft-Level High-lift System Architecture Based on SysML
Authors: Yang Hao , Zhan Chao , Wu Haomin , Cui Chao , Hu Renyu
Published: March 2021

The aircraft-level high-lift system architecture of civil aircraft includes functional architecture, logical architecture and physical architecture. The system architecture describes the hierarchical relationship, cross-linking relationship and information interaction between the function, logic and physics of the system. This article is based on the SysML modeling language, using the MagicDraw modeling tool to transform the traditional design work based on experience and documents into model-based architecture design work, using the association and traceability of the model to ensure the integrity of the information in the design process. This article establishes the design relationship between its functional, logical and physical layers of the high-lift system to verify the efficiency of this modeling method.
Study on multiple thermal radiation response of adjacent tanks based on numerical simulation
Authors: Zuo Yawen , Zhang Mingguang , Zheng Feng , Pan Wenjie , Mo Sifan
Published: March 2021

In order to obtain the time to failure of adjacent tanks under multi-thermal radiation conditions, the thermal response of gasoline tanks under multi-thermal radiation was studied. The heat radiation values of the adjacent tanks under pool fire were calculated. The temperature distribution and the corresponding stress of the adjacent tank were studied with ANSYS-Workbench software under the influence of single heat radiation and multi-thermal radiation. According to the physics properties of tank steel Q235B, the time to failure (ttf) of the tank was analysed. The results show that the temperature rise rate affected by the coupling effect of multi-thermal radiation is significantly higher than that affected by single heat radiation; when the storage tank is affected by the single heat radiation, the time to failure is about 22min; when the storage tank is affected by the coupling effect of multi-thermal radiation, the time to failure is about 15min.
Design and mechanical failure analysis of Ti6Al4V alloy thin-walled parts by selective laser melting(SLM) manufacture
Authors: Wang Qun , Zhang Lijun , Xu Xinchen , Yu Xiao , Zheng Yi , Wangping Wu
Published: March 2021

There is a growing interest in using additive manufacturing to produce smart structures, which have the capability to respond to thermal and mechanical stimulation. In this report, Selective Laser Melting (SLM) is used to build a thin-walled titanium alloy structure. The part creating a ultra lightweight is 2.15g, while its strenght achieve at 132.4MPa. The stages of compression process was analyzed in detail, meanwhile the deformation and failure mechanism of the thin-walled part was described.
Quantum Entanglement and Its Application in Quantum Communication
Authors: Zou Nanxi
Published: March 2021

Since the concept of quantum entanglement was proposed, quantum entanglement has been paid more and more attention. Especially in recent years, with the interdisciplinary and interdisciplinary development of quantum informatics, the general definition, physical properties and entanglement measurement of quantum entanglement have been comprehensively and deeply studied. Due to its nonlocality, quantum entanglement has been widely used in quantum information, especially in quantum communication. In view of the application status of quantum entanglement in quantum communication, this paper presents a survey of quantum entanglement and its application in quantum communication. In this paper, 230 staff members from 15 Chinese companies involved in quantum communication are selected as the investigation samples, and the proportion of quantum entanglement in the application is obtained, which can promote the quantum communication. The capacity, speed and security of quantum entanglement and ordinary quantum in the application of quantum communication are compared. Through the analysis, it is concluded that each index of quantum entanglement is conducive to the development of quantum communication. Quantum entanglement provides a technical guarantee for the research of quantum communication.
Fatigue Detection For Online Classes Based on Adaboost
Authors: Mo Qingyu
Published: March 2021

Online Classes has been widely popularized since corona virus doesn’t allow students to have face-to-face classes. However, due to comfortable environment that students have, students may get sleepy in class and cannot help with their fatigue. So students need a supervised environment to alarm them not to fall asleep. So in this article, a real-time method to detect whether the student in front of the camera is sleeping, based on the demo of students in online classes, is introduced. This article focus on detection of states of eyes of students. It uses Adaboost as the training method to detect the face of the student, uses Canny to process the picture with human face, and calculates the area of the exposed eyeball and the radius of the eye. Finally, PERCLOS is used as the criterion to determine whether the student is sleeping in class. The method in this article has high detection rate on faces and eyes, which is respectively 99.7% and 98.5% for image set that made by the author. It can be applied on online classes and shows good results in detecting the fatigue of people in practical.
Overview of the development of speaker recognition
Authors: Yuan Xinyu , Li Guanyu , Han Jiao , Wang Di , Tiankai Zhi
Published: March 2021

Speaker recognition is a technology that recognizes a person’s identity through a person’s voice. Speaker recognition is one of the important research topics in the field of biometrics. This article first introduces the background and research significance of speaker recognition; secondly, it briefly introduces speaker recognition technology; again introduces the method research used in speaker recognition; and finally analyzes the research difficulties and challenges of speaker recognition.
Image Description Generation based on Deep Learning
Authors: Zeng Miaomiao , MuRong Xun
Published: March 2021

The paper firstly explains the importance and research significance of image description generation and makes a brief research summary on the generation of various algorithms for image description; it further introduces the principle and the algorithm process of the LSTM deep learning algorithm in details, specifically describes establishing steps and the model parameter selection process of the LSTM deep learning algorithm of the Microsoft COCO dataset, implements the deep learning models by employing Python, and finally applies the trained LSTM deep learning model to image description generation by using the Microsoft COCO dataset as an instance.
Filling Algorithm of Polygons and Embedded Polygons
Authors: Yang Xiaozhuo
Published: March 2021

In this paper, by studying the laser marking trajectory model, for the two different marking modes of zigzag parallel and contour parallel, with or without contour nesting, different laser marking path generation algorithms are designed. And compare the time-consuming of the two algorithms, discuss and propose methods to optimize the algorithm to improve the efficiency of the algorithm to meet the needs of industrial applications. According to the requirements of the distance between the retracted boundary and the hatch line, the zigzag parallel trajectory generation algorithm and the contour parallel trajectory generation algorithm are designed, and the hatching curve is generated according to the given contour point set. Based on the algorithm above, in the face of contour nesting, the algorithm is improved, and the hatching curve is generated according to the given contour point set. For the zigzag parallel trajectory generation algorithm, considering the intersection of the scan line and the inner contour. For contour parallel trajectories, this paper uses a vertex-based offset algorithm, which takes a long time. This is because the vertex-based offset algorithm is more complicated to solve the problem of self-intersection. This paper proposes that for the zigzag parallel method, the angle of the workpiece can be adjusted to find the optimal angle, so that the marking path is the smallest. And for the contour parallel trajectory generation algorithm, this paper proposes an optimization too.
Rademacher Complexity in Simplex/l∞
Set
Authors: Lu Yuwei
Published: March 2021

When the size of the neural network is too large, calculating the bound of neural network is a difficult problem. Therefore, “size-independent” is what needs to look for here. This paper follows the path of “Size-Independent Sample Complexity of Neural Network ”, and tries to get a better expression of Rademacher Complexity of neural networks.
Communication Modulation Recognition Method Based on Clustering Algorithm
Authors: Cheng Yuyang , Shao Shuying
Published: March 2021

The modular identification of wireless communication signals is widely used in civil and military fields. With the rapid development of modern communication technology in China, signal modulation becomes complex and diverse. How to accurately identify communication signal modulation methods has become a research hotspot. Among them, multi band quadrature amplitude modulation (MQAM) is widely used in microwave communication, satellite communication and network communication. It has the advantages of high frequency band utilization and flexible modulation. Therefore, the recognition of MQAM modulation mode is of great significance. Traditional clustering algorithm has some limitations when it is used to identify MQAM signal modulation, such as too many iterations and long recognition time. For high-order modulated signals, a modulation recognition method based on Constellation Clustering is proposed. The constellation is used as the feature of modulation recognition, and the constellation of received signal is reconstructed in groups. The simulation results show that the collected characteristic parameters have strong interference ability to multi-channel, and the recognition rate reaches 97.6%. It has important engineering application value for signal modulation recognition in low SNR environment.
Higher-Order Quantum Genetic Algorithm and Its Application on Non-Linear Equations
Authors: Jin Lei , Shan Zheng , Hu Chunchao , Xu Le
Published: March 2021

The high efficiency of quantum algorithms is caused by the quantum parallelism of the superposition principle and the quantum entangled, but traditional quantum genetic algorithms only use the quantum superposition principle. In order to further improve the performance of the algorithm, this paper proposes a new higher-order quantum genetic algorithm, which adds quantum entanglement properties on the basis of the principle of quantum superposition. Finally, the traditional quantum genetic algorithm and the higher-order quantum genetic algorithm are used to test a set of nonlinear equations many times. The results show that compared with the traditional quantum genetic algorithm, the evolutionary update operation of the higher-order quantum genetic algorithm does not involve multiple judgment conditions of the traditional quantum gate, requires less evolutionary algebra, and can converge quickly.
A Brief Analysis of GAN Variants on Image Classification and Generation
Authors: Zhu Mingjing
Published: March 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Measurement of 190Pt alpha decay modes with gamma emission using a novel approach with an ultra-low-background high purity germanium detector
Authors: Nagorny S. , Laubenstein M. , Nisi S.
Published: March 2021

A new measurement of 190Pt alpha decay modes to the first and second excited level of 186Os has been done at the Gran Sasso Underground Laboratory (LNGS, Italy). With a new experimental set-up a total exposure of 23.107 kg d has been accumulated. The novel approach to detect rare decays made it possible to measure the half-life for the alpha decay into the first excited state of 190Pt with the highest precision to date as T1/2 = 2.59 ± 0.04 (stat.) ± 0.24 (syst.) × 1014 a, in which systematic uncertainties dominate. The search for the alpha decay into the second excited state of 186Os resulted in a lower limit of 2.8 × 1016 a (90% C.L.), which is nonetheless an improvement of one order of magnitude compared to existing results.