bluuebunny/crossref_metadata_2025_split huggingface dataset:
Based on multi-antenna multi-channel wireless signal separation
Authors: Zhao Yongji , Hu Wenwen , Chen Kuilin 
Published: January 2021

Abstract
Wireless signal separation under the condition of multi-antenna and multi-channel reception is a process of estimating the source signal component by using the observed signal vector. Under the condition of multi-antenna and multi-channel reception of wireless mixed signals, in view of the problem that the stability of FastICA algorithm will be affected, it is proposed to increase the number of iterations to improve the FastICA algorithm. The experimental comparison and simulation results of FastICA algorithm and FastICA improved algorithm It shows that for the separation of wireless mixed signals, the improved FastICA algorithm can achieve a better separation effect.
Signal discrimination with wavelet algorithm and Pearson correlation-based algorithm in φ-OTDR systems
Authors: Mo Dai Li , Yu Zhi Hua , Cai Yun Fei , Liu Rui 
Published: January 2021

Abstract
This paper presents a novel method of distinguishing signal, the way expected to reduce the nuisance alarm rate since the high nuisance alarm rate will restrict the capability of phase-sensitive optical time-domain reflection technology. The proposed method includes two parts: wavelet positioning mutation to obtain the perturbation area and Pearson correlation algorithm to directly convert the intensity of the perturbation into a useful amplitude. This technique avoids the use of irrelevant data in these differential signals and provides a simple and feasible new approach for distinguishing signal and optimizing the positioning speed of φ-OTDR systems.
Hierarchical resource allocation strategy for RAN slices in smart grid
Authors: Liu Mingyue , Wang Yang , Meng Sachula , Zhao Xiongwen 
Published: January 2021

Abstract
With the rapid development of the new generation of smart grid, the variety of smart grid services are becoming more and more diversified, which lead to various service demands. According to different service requirements, it is necessary to allocate network resources flexibly and dynamically. In order to solve the problem of resource allocation among network slices in smart grid, we propose a two-layer dynamic resource scheduling strategy for network slicing. It can be divided into inter slice resource allocation and intra slice resource allocation. The former refers to the allocation of network resources to network slices. The latter refers to that the network slice allocates the allocated resources to the users in the slice. The simulation results show that the proposed two-layer network slicing dynamic resource scheduling strategy is superior to the current resource scheduling strategy in terms of quality of experience (QoE) of users and system throughput, which can better meet the needs of users.
An INT-based Load Balancing Mechanism for Cloud Datacenters
Authors: Cui Zixi , Hu Yuxiang , Hou Saifeng 
Published: January 2021

Abstract
In this work, we propose Closer, a scalable congestion-aware load balancer for cloud datacenters. Closer complies with the evaluation of technology including the deployment of regular Clos topologies, overlays for network virtualization, and virtual machine (VM) clusters. Leveraging In-band Network Telemetry (INT) to obtain precise link load information, we design a simple but efficient algorithm that implements weighted ECMP at the edge of fabric, which enables Closer to proactively map the flows to the appropriate path and avoid the excessive congestion of a single link. Closer decouples the system into centralized route calculation and distributed route decision to guarantee its efficiency and stability in large-scale networks. In tested experiments, Closer achieves 2–7 times better flow completion time (FCT) than existing alternatives at 70% network load.
Research on Jamming Resource Allocation Technology Based on Improved GAPSO Algorithm
Authors: Liu Fang , Wang Yanwei , Chen Jiabei , Wang Qingping , Yuan Naichang 
Published: January 2021

Abstract
In this paper, firstly, the influence factors of different electronic loads on radar are analyzed from various angles, and a resource allocation model is built for penetration scenarios. Then, the evaluation indexes of radar in different working stages are explained and fused to construct a scientific and reasonable objective function. Finally, a genetic particle swarm(GAPSO) algorithm based on two-dimensional parallel coding is creatively proposed, and the parameters of the algorithm are adjusted adaptively to improve the performance of the algorithm. The simulation results show that the improved GAPSO algorithm has obvious effectiveness and superiority in solving the resource allocation problem in process of jammers shielding target penetration.
Research on Motif Mining Based on Neighborhood Equivalence Class
Authors: Feng Jian , Ma Rui , Chen Shaojian 
Published: January 2021

Abstract
The motif is an important mesoscopic structure existing in the network, and motif mining is an important means to study the social network structure. Based on the tree traversal G-tries algorithm of common subgraphs, we propose an accurate subgraph recognition algorithm of neighborhood equivalence class Ex-Motifs to reduce the matching process of subgraph isomorphism. In addition, for the research of motif metric, we propose a motif metric index based on a common substructure, which can directly judge the significance of subgraph frequency on the original network. Experimental results show that the computational efficiency of Ex-Motifs is relatively high, and it can find a motif similar to the traditional motif metric method.
TPK: a single-cell clustering algorithm based on novel feature selection genes
Authors: Cui Yaxuan , Luo Kunjie , Zhang Zheyu , Liu Saijia 
Published: January 2021

Abstract
With the continuous development of single-cell sequencing technology, through the gene expression data obtained by single-cell sequencing technology, we can have a deeper understanding of the heterogeneity between cells and the underlying mechanisms that exist between cells. However, due to the complexity of the data, single-cell identification and clustering have also brought us huge challenges. We found that many classic clustering algorithms performed poorly in single-cell clustering. Our research found that the key reason was that no mark was found. gene. First remove genes with low expression levels, and then calculate the variance value of genes, select the top 1000 genes with the largest variance, and then perform a T test to remove noise. Finally, the obtained genes are clustered using Cosine similarity algorithm and k-means. Found that it has a good clustering performance.
Adaptive Fuzzy Control for Input Restriction Airbreathing Hypersonic Vehicle
Authors: Yahui Wu , Yitao Li , Yuhuan Li , Ying Nie , Li Lu , Zhengrong Li , Caidong Zhan 
Published: January 2021

Abstract
For the problem of actuator limitation in the control of aspirating hypersonic vehicle (AHV), this paper proposes a control strategy combined fuzzy approximation system with adaptive control. Firstly, the system is divided into velocity subsystem and altitude subsystem. Then, a new control law is designed. Finally, the uncertainty of the system is estimated based on the universal approximation theory of fuzzy system. This control strategy can both allow the control system with better robustness, and a good restraining effect for the uncertain disturbance. As shown from the simulation results, the method proposed in this paper has more stable than the traditional method in different situations and verifies the effectiveness of the control strategy.
Target motion detection algorithm based on dynamic threshold
Authors: Zeyi Zhao , Gang Lu 
Published: January 2021

Abstract
Realizing moving target detection through visual algorithms is a major branch of computer technology. Moving target detection has a wide range of applications in many fields such as video surveillance, unmanned driving, and behavior research. The current algorithm has been able to achieve moving target detection well in a static background, but the detection of multiple moving targets in a dynamic background is still a challenging research area. The main pain points are complex background, light changes, noise interference and Occlusion and real-time detection requirements, etc. Aiming at the detection of moving targets in complex scenes, a moving target detection algorithm based on dynamic threshold is proposed. The algorithm first uses the gray difference gradient of three adjacent frames of the video sequence to calculate the segmentation threshold of foreground moving targets to realize the dynamic threshold. Then use dynamic thresholds to achieve multi-target motion detection in complex backgrounds or scenes with changing lighting. Because the gradient change of adjacent frames of the scene is considered in the process of moving target detection and segmentation, and the gradient change is converted into a dynamic threshold to participate in moving target detection and segmentation, the algorithm can adapt to scenes with changing lighting. Experiments show that this algorithm is feasible for moving target detection in complex scenes, and has a lower error rate than that of traditional algorithms, and is more suitable for to complex or changing lighting scenes.
IoT Terminal Communication and Status Management System Based on LoRa Technology
Authors: Duan Siyan 
Published: January 2021

Abstract
This article discusses the basic content and application advantages of LoRa technology, combined with the key points of the establishment of the Internet of Things terminal communication and state management system. The content of this article includes system architecture analysis, communication connection mode, terminal registration phase, data transmission phase and terminal cancellation phase. The author studied the simulated environment test, communication distance test, energy consumption monitoring test and other contents. The purpose of this article is to improve the security of the IoT terminal communication environment, speed up signal transmission, and improve signal transmission quality.
Innovative Reform of Engineering Drawing Course Based on Design Project Drive
Authors: Mingxia Zhao 
Published: January 2021

Abstract
Under the background of deepening the reform of vocational education, vocational schools and professional teachers are trying more teaching methods and using more advanced teaching methods. Based on the existing research theories and achievements, this paper takes the engineering project professional skills training as an example, explores how to combine the work content with the project teaching content, optimizes the project teaching, improve the teaching quality of the engineering project related courses, improves the teaching effectiveness and enriches the teaching theory, so as to improve the theoretical research of relevant courses for reference and find out the way and general law of project teaching implementation, and construct the project teaching mode with secondary vocational characteristics, and update the education and teaching concept, and help the project teaching reform, and promote the comprehensive, coordinated and sustainable development of secondary vocational schools.
Research on Education Performance Evaluation Based on Characteristic Index Vector Analysis
Authors: Zhang Panpan 
Published: January 2021

Abstract
The research on the performance of cultivating innovative and entrepreneurial talents in higher vocational colleges is to combine the teaching theory of innovation and entrepreneurship education with the practice of university parks, form new thinking of innovation and entrepreneurship education, and cultivate a number of innovative and entrepreneurial talents in the new era. This paper proposes the design of teaching performance model based on data decision. With the method of characteristic index information sampling, the sample data of educational resource service performance are obtained. Combined with the optimal strategy to track the human resource management and service performance of colleges and universities, the cost function of education index performance management is constructed. Based on the characteristic index query and optimization control of education performance management, the performance prediction is carried out, and the design of human resource service performance model based on characteristic index vector is realized.
Error Performance of Polar Coded Spatial Pulse Position Modulation Technique
Authors: Li Yinlong , Mao Zhongyang , Liu Min 
Published: January 2021

Abstract
The turbulence in the channel will increase the bit error rate of the FSO system, which can resist the influence of atmospheric turbulence in many ways. In this paper, spatial pulse position modulation (SPPM) is combined with Polar code to improve error performance. The influence of list length on the decoding performance of CRC-SCL and the performance changes of Polar codes at different code lengths and rates are analyzed. Monte Carlo simulation results show that Polar codes in SPPM system have similar performance changes as in single input single output system. Therefore, Higher coding gain at low code rate and long code length.
Polymerized RingCT: An Efficient Linkable Ring Signature for Ring Confidential Transactions in Blockchain
Authors: Duan Junke , Gu Lize , Zheng Shihui 
Published: January 2021

Abstract
In this work, we study and refer the privacy protection protocol used in the blockchain, in particular, the Ring Confidential Transaction protocol in current popular anonymous cryptocurrency Monero. Based on our observations on the underlying linkable ring signature and homomorphic commitment schemes, we design a new efficient RingCT protocol for protecting user’s transaction information. Our scheme is built on the Schnorr ring signature, the well-known Pedersen commitment and signature of knowledge. We show that the signature algorithm used in our scheme satisfies the security requirements under random oracle model and adaptive chosen message attack. Moreover, compared with other ring confidential transactions protocols, our scheme can significantly save the cost of operation and interaction linearly under multi-account operation, that is, unlike other schemes, the cost of its underlying signature algorithm doesn't grow linearly as the spender’s accounts grow.
Investigating Issues with Machine Learning for Accent Classification
Authors: Lou Zhewen , Ren Yitian 
Published: January 2021

Abstract
Speech recognition has become a widely researched topic for decades, and there were already some successful products which has been put into commercial use, like Siri. However, sometimes it is hard to distinguish the word because words of different accents have different pronunciations. For instance, in Japanese English /r/ is usually pronounced as /l/. Therefore, it is natural to think that speech recognition could be divided into two parts. First attach a label to the audio about the accent, then recognize the contents based on the regular pattern of that accent. In this paper, we researched on several characteristics including voice onset region(VOR), vowels and formants to distinguish British English and American English. By applying both linear neural network and neural network with nonlinear classifications and two hidden layers(NN2HL), the accuracy rate reaches 86.67%, which is very satisfying.
Research on Moving Target Recognition and Tracking Technology Based on Machine Learning
Authors: Zhang Ying , Li Jie , Wang Yi 
Published: January 2021

Abstract
In this paper, the SIFT feature, HOG feature and SVM are adopted to design a movement vehicle recognition system, when the vehicle is relatively close to the camera and it backs to the camera, also the vehicle can be implemented to track. In this paper, two feature extraction methods, SIFT feature and HOG feature are respectively used to extract the features from 6000 images of vehicles with back facing the cameras and 6000 images without vehicles. Then SVM is used to train them to obtain a model. Then, we use the moving object recognition algorithm to extract the moving object in the given video, and put each moving object into the trained model to judge. If the model is judged as a vehicle, it will be tracked.
Research on Intelligent Financial Customer Service System of Colleges and Universities in the Era of Artificial Intelligence
Authors: Kunwei Yang , Zeyi Zhao , Xiaoli Chen 
Published: January 2021

Abstract
The informatization of the University Finance Office is developing rapidly, but still faces problems such as difficulty in consulting and inquiry. Teachers and students are often confused by the minor differences in numerous financial documents, so it is advisable to introduce intelligent financial customer service. This article endeavours to design an intelligent financial customer service system with artificial intelligence technology, which can provide college teachers and students with automatic, real-time and all-round intelligent customer service experience.
Drink-driving monitoring system based on single chip microcomputer and sensor
Authors: Chen Yong , Wang Shudong , Wang Hao , Liu Shen , Li Runqing 
Published: January 2021

Abstract
This paper describes the design of hardware and software for alcohol concentration detection, which is mainly used to identify whether a driver is driving after drinking. The design can adjust the set value, and it can also be used in other fields. The drink-driving monitoring system is based on the single-chip microcomputer AT89C52, and the sensor detects the alcohol concentration. After some complicated processing, if the set value is exceeded, the buzzer will send out an alarm and the LED red light will twinkle, and the specific data will be displayed on the monitor. If the set value is not exceeded, the buzzer does not respond and the value is displayed on the display. The design has the advantages of high security, portability, intelligence and low cost.
Vascular Cooling Effect on Temperature Distribution for Hollow Microspheres in Magnetic Induction Hyperthermia: Numerical simulation and analysis
Authors: Zhang Yandong , Cui Pengfei , Zhang Liyan , Tang Jintian 
Published: January 2021

Abstract
Magnetic Induction hyperthermia is a type of treatment that uses electromagnetic energy to form high temperature area in tumour and kill tumour cells. Magnetic agents can generate heat to increase the temperature. However, researches have shown that the tumour is adjacent to complex vessel systems. Vascular cooling may have great impact on temperature distribution in tumour. Therefore, pre-temperature simulation including vascular cooling effect must be considered to help the clinicians decide the treatment plan. Our previous work has used numerical methods to simulate temperature distribution of avascular model. In this work, we use numerical methods, containing FDM, FVM, BADI and DADI, to simulate the vascular agar model. After comparing the simulation results and vitro heat results, BADI has the smallest error. What’s more, limited by vitro experimental conditions, many vascular parameters cannot be changed in vitro experiments. So we use BADI to simulate the temperature distribution under different conditions containing blood flow rates, vessel diameters and vessel locations. Simulation results show that the blood flow rates and vessel diameters have less impact compared to vessel locations and the blood flow rates affects the least.
Effect of mechanical ball grinding time on the properties and microstructure of graphite-copper composite
Authors: Zou Haiping , Yu Xiaohong , Wu Hongliang 
Published: January 2021

Abstract
In this paper, the graphite-copper composite was prepared by powder metallurgy sintering method which used copper powder and graphene powder as raw materials. The powders were mixed by ultrasonic dispersion and mechanical ball grinding method. The effect of mechanical ball grinding time on the properties and microstructure of graphite-copper composite was investigated using Optical microscope, scanning electron microscope (SEM) and Vickers hardness meter. The result showed that the distribution of graphite in the copper matrix was uniformly and formed a good interface by using the ultrasonic dispersion and mechanical ball grinding method. When the mechanical ball grinding time was raised from 2 hours to 16 hours, the relative density and Vickers hardness of the graphite-copper composite reached their maximum value, the relative density was 92.1%, the Vickers hardness (HV0.5) was 61.9HV. However, the properties of graphite-copper composite showed a downward or stabilize trend the mechanical ball grinding time increasing from 16 hours to 48 hours.
A non-destructive testing method for metal stress based on conductivity measurement
Authors: Lu Qi , Wang Li , Gao Xiang , Tang Jiaqi 
Published: January 2021

Abstract
Military weapons and equipment have been working under harsh and complex conditions for a long time during their service. Due to external loads and environmental corrosion, load-bearing beams, engine blades, fixed connectors and other stressed components are prone to fatigue defects and even brittle fractures caused by stress concentration. Socio-economic and operating personnel’s life safety poses a huge threat. Based on electromagnetic eddy current testing, this paper mainly studies the influence of metal material stress on material conductivity and establishes a mathematical model of conductivity and stress through experiments to provide theoretical help for sensor measurement signal processing.
Design and Implementation of Charging and Discharging Device for Electric Inland River Cruise ship
Authors: Yu Zhang Ze 
Published: January 2021

Abstract
This paper designs a charging and discharging device for electric ships. The electric ships’ battery is very large, when performing charge and discharge control of the battery system, it is necessary to manage the charge and discharge current of the battery system reasonably. The battery charging and discharging device can convert the voltage of the energy storage system with a large variation range into a stable DC output voltage, which can control the charge and discharge current of each cluster, and complete the charge and discharge management of each battery cluster. The battery charging and discharging device can be quickly and dynamically adjusted to adapt to changes in the load, and has high operating efficiency and power density. This charging and discharging device has been successfully applied to a certain type of inland river pure electric cruise ship, which will significantly improve the reliability of large-capacity lithium battery ships, and significantly improve the environment of the Yangtze River and other inland river economic zones, and has good applicability in the field of new energy ships.
Influence of Cu doping and high-pressure torsion on electrochemical performance of lithium-rich cathode material
Authors: Wang Mingcai , Zhang Fan , Chen Linfeng , Xu Bin , Cui Zhonglu , Edalati Kaveh 
Published: January 2021

Abstract
Lithium-rich manganese based layered oxide yLi2MnO3∙(1-y)LiMO2 (M=Ni, Co and Mn) is one of the candidate materials for high-capacity cathodes in next-generation lithium-ion batteries. Ion doping with cation and introducing oxygen vacancy are regarded as two methods to change the electrochemical performance of Li-rich cathode materials. In this work, Li1.2Mn0.54Co0.13Ni0.13O2 was synthesized via one-step co-precipitation process, ion doping with low cost element Cu as well as high-pressure torsion were carried out to modify the Li-rich material. Results show that doping with Cu can slightly improve the specific discharge capacity as well as the coulombic efficiency which may be attributed to the lower cation mixing degree.