bluuebunny/crossref_metadata_2025_split huggingface dataset:
Projectile wireless setting and Mechanical testing technology
Authors: Zhang Mingyue , Fang Liqing , Shi Yonglei 
Published: July 2021

Abstract
This paper discusses the mechanical testing technology used in the wireless setting system of projectile, mainly including sensor, signal processing, system analysis, error analysis and data processing theory. The circuit simulation and system analysis are carried out by using Multisum, and the magnetic field simulation is carried out by using CST. The wireless setting scheme based on electromagnetic induction is designed, and the scheme is analyzed and improved. Finally, the data of range and firing angle of the projectile in high-speed motion can be set quickly.
Application Research of Electronic Technology in Communication Engineering in Communication Engineering
Authors: Liao Xianbi 
Published: July 2021

Abstract
Electronic technology has positive significance for strengthening communication engineering quality. Its applications under big data context is mainly reflected in communication engineering resource allocation. It can establish an electronic communication resource intelligent allocation model, which is also the basis of communication engineering to complete massive data transmission. This article summarizes the combination of electronic technology and communication engineering based on past work experience.
Temperature Control System of Medical Instrument Based on Dual Threshold Hysteresis Comparison Circuit
Authors: Ding Zeyu , Hu Chunzheng , Miao Fushuai , Gong Wei 
Published: July 2021

Abstract
The paper presents a design method of temperature control system of medical instrument based on dual threshold hysteresis comparison circuit. The system adopts a negative temperature coefficient thermistor as the temperature sensor and a thermoelectric cooler as the control object. By means of this method, the working temperature in the medical instrument ranges from two degrees centigrade to four degrees centigrade accurately. According to the test results the design scheme is optimized and improved. The design method is scientific, effective and economic by experiments.
A New 2-Correspondences Monocular Vision Navigation Method Under Planar Motion
Authors: Yu Yingjian , Sun Xiangyi , Guan Banglei 
Published: July 2021

Abstract
Vision navigation has non-contact, high-precision and low-cost characteristics compared with other navigation method. This paper proposes a vision navigation method for planar moving platform in known scene based on two 2D-3D correspondences. Taking account of the arbitrary direction of camera and the relative pose between the camera and the platform, we propose a linear solver with unique solution, whose minimal number of requirement correspondences is 2 and can cope with arbitrary number of correspondences bigger than 2 directly. Our method is evaluated on both synthetic data and real-world data. The experimental results demonstrate that our method is high-accuracy and fast for vision navigation of planar moving platform.
Functional safety certification method for in-use escalators
Authors: Zhang Xupeng , Yong Zhao 
Published: July 2021

Abstract
As an emerging technology, functional safety technology has been widely used in escalators. In this article, the background and application of functional safety are briefly introduced, the definition of functional safety is given, and the method of documenting functional safety certification is a very effective and simple method, and the specific application of escalators in use is proposed. By providing reasonable safety certification documents in compliance with the prescribed procedures, risks can be effectively reduced, and the overall safety and reliability of the escalator can be improved. The content, scope, and development procedures of the escalator safety function certification document and the on-site verification of the escalator safety function were discussed.
A blockchain-based access control scheme for smart home
Authors: Zhang Wentai , Yan Huaizhi 
Published: July 2021

Abstract
With the advancement of technology and economy, the scale of the smart home industry has exploded. While improving people’s lives, smart home systems are facing threats to privacy leaks, malicious attacks, and structural security. Effective security mechanisms are very important for protecting valuable data in smart home systems. Access control helps information systems prevent malicious access, thereby reducing the risk of privacy leakage. Blockchain can provide security support for the Internet of Things system due to its advantages of decentralization and immutability. Therefore, in this paper, a smart home access control scheme based on blockchain is proposed. The scheme uses Hyperledger Fabric and implements access control strategies through smart contracts. By designing a hybrid access control model based on dynamic attribute-based access control and static access control matrix, the remote access control initiated by the user through the Internet and the access control between local devices are well guaranteed at the same time. Through safety analysis and performance evaluation, the feasibility of the proposed scheme is demonstrated.
Adaptive loop pipeline control mechanism for Coarse-Grained Reconfigurable Block Cipher Array
Authors: Qu Tongzhou , Dai Zibin , Lin Chen , Yin Anqi 
Published: July 2021

Abstract
Coarse-grained Reconfigurable Array (CGRA) is a new processor architecture suitable for Block Cipher calculation. However, it has the problems of complex control mechanism and poor support for loop pipeline mapping. Based on the CGRA architecture designed for Block Cipher algorithms, this paper proposes a scenario jump model which can describe the process of loop pipeline running. Based on this model, a control structure supporting Block Cipher loop pipeline mapping was designed on the process platform CGCLA (Coarse Grain Cipher Logic Array), which could automatically complete the control functions described by virtual instructions in the model driven by the configuration flow to realize the adaptive control. Compared with similar process structures, CGCLA platform has more complete control functions. The mapping results of AES algorithm show that the proposed technique can achieve 2.15times performance improvement and reduce the amount of algorithm configuration information by about 25%.
Research on Precise Control Technology of Explosion Point Based on Ballistics
Authors: Shi Yonglei , Fang Liqing , Zhang Mingyue , Guo Deqing , Zhang Sa 
Published: July 2021

Abstract
According to the characteristics of small caliber grenade, this paper establishes its internal and external ballistic model, and studies the characteristics and basic rules of internal and external ballistic of grenade. The key factors affecting the accuracy of the distance model are analyzed, and the techniques and methods for determining the parameters of the distance model are studied. The measuring system and wireless setting system for the precise control of small caliber grenade blast point are designed. The theoretical method of controlling the blast point of projectile by DSP chip and improving the accuracy of distance determination is described. Finally, a wireless setting system is constructed based on related theories and sensors.
A Total Dose Irradiation Test System
Authors: Zhang Kun , Yan Na , Yang Fan , Zhao Xiaodong 
Published: July 2021

Abstract
In this paper, a set of generalized test system for total dose irradiation test is designed. Through the establishment of related hardware platform and related test chip according to the adaptation requirements, the device can be observed in real time under the radiation environment. The total dose test was irradiated with the 60Co source, and it worked normally when different total doses were selected. In this article, a unit library test chip based on 130nm SOI technology is selected for testing. During the test, the system works stably and functions normally.
Analysis of Influencing Factors on the Capability of Ground Safety Remote Control Omnidirectional Antenna
Authors: Zhao Mei , Lin Yiyong , Hu Yuming 
Published: July 2021

Abstract
Aiming at the capability of the ground-safe remote control omnidirectional antenna, the factors affecting its signal coverage are analyzed. The calculating method of antenna working boundary combining the width of the antenna beam is proposed. The determination of the effective working hours of the omnidirectional antenna is realized.
Research on Man-Machine Service Reliability of New Generation Power System
Authors: Yin Xia , Li Lulu , Lv Zhimeng , Yan Zhen , Xu Hua , Zhao Kun , Huang Kun 
Published: July 2021

Abstract
With the rapid growth of smart grid dispatching business scale, the traditional fat client mode power system has a large degree of business coupling, which limits the power grid dispatching business. But the lightweight man-machine cloud terminal and man-machine service framework have greatly reduced the coupling degree of the grid dispatching system business. The appearance of man-machine service reduces the development cost of client, and makes the unified browsing of multi system and multi terminal equipment easier. However, how to ensure the reliability and stability of man-machine interaction service is a question worthy of discussion. How to adapt to the interaction of a lot of clients and to adapt to the requests of different clients put forward higher requirements for man-machine service. This article describes the man-machine service architecture and key technologies to ensure reliability, introduces technologies such as load balancing and thread pools that adapt to the characteristics of power grid human-computer interaction, introduces in detail the distributed job scheduling management mechanism within the man-machine service, and describes the standardized request and return result of man-machine service. Finally, through sample testing and on-site operation, demonstrate the reliability of the man-machine service.
Application of mapping geographic information in emergency mapping
Authors: Liu Yuhua , Song Wenjie , Sun Jiuhu , Qu Tonglei , Tian Dan 
Published: July 2021

Abstract
With the continuous development of geographic information surveying and mapping technology, emergency surveying and mapping puts forward higher requirements for surveying and mapping work. Whenever an emergency occurs, emergency investigation and geographic mapping provide effective and reliable information for the emergency situation. In addition, emergency surveying puts forward higher requirements for mapping geographic information. Analyzing the application of surveying and mapping geographic information technology in emergency surveying and mapping, such as the application of data collection technology and virtual reality technology, can effectively enhance the role of geographic information technology in emergency surveying and mapping, and improve the ability of emergency response. This paper mainly analyzes the application of geographic information in emergency surveying and mapping and related technical fields, and explores the main application trends of emergency surveying and mapping.
Research on the Construction Method of Knowledge Ontology Facing the Field of Substation Maintenance
Authors: Zhang Bowen , Qian Ping , Li Cheng , Gao Fei , Yang Ning 
Published: July 2021

Abstract
Starting from the definition and classification of knowledge, this paper gives the definition and classification of substation maintenance knowledge. Based on the “seven-step method”, it proposes a method of constructing knowledge ontology for narrow fields, including 9 steps, and establishes substation maintenance knowledge Ontology, including 13 concepts and 60 attributes, lists the concepts and attribute descriptions of the ontology, laying the foundation for the next step of building a knowledge navigation map.
Research on Calibration Technology of TEV Partial Discharge Smart Sensors
Authors: Shao Hongming , Tang Zhiguo 
Published: July 2021

Abstract
TEV partial discharge detection is an important method to judge the insulation status of the switchgear. However, the quality of TEV smart sensors produced by different manufacturers on the market is uneven. Some TEV smart sensors that have been put into operation have deficiencies in measurement sensitivity, data stability, and long-term operational reliability. In response to these problems, this paper proposes a TEV smart sensor calibration method and builds a test platform, which is composed of program-controlled signal source, signal coupling device, protocol conversion device, host computer and corresponding integrated control software. On the basis of the existing standards such as sensitivity and linearity, the evaluation of the data stability, reliability and battery lifetime of the TEV smart sensor has been added. It provides a more comprehensive and effective implementation plan for TEV smart sensor performance verification in power grid access test.
Research on SLAM based on RBPF algorithm in indoor environment
Authors: Li Qiang , Kang Jia , Cao Xiaofang 
Published: July 2021

Abstract
In order to realize the simultaneous localization and mapping (SLAM) of robots in indoor environments, a SLAM method for four-wheel mobile robots based on RBPF algorithm and lidar is proposed. The mobile robot realizes its own positioning during the movement. The lidar scans the location of indoor obstacles, updates the map in real time, and gradually realizes the construction of a local map to a global map through data association. Aiming at the particle barrenness that may occur when the RBPF algorithm realizes SLAM during resampling, an adaptive resampling method is adopted to ensure that there are enough particles to realize SLAM every time. The experimental results show that when the linear velocity and angular velocity of the four-wheel mobile robot are small, indoor SLAM can be better realized.
Single Image Defogging Algorithm Based on Sky Region Segmentation
Authors: Xu Shufang , Fu Yaowen , Sun Xiaoyi 
Published: July 2021

Abstract
The visibility, contrast and color fidelity of images acquired under foggy weather will decrease to a certain extent, image defogging is an important part of image processing. Since the dark channel prior is not applicable to the sky area, which results in the color distortion and some noise of the restored fog-free image. Based on the segmentation of the sky region, it is proposed to separately estimate the atmospheric light value and transmission map according to different regions, and finally generates a defogging image using the optimized synthetic global map. In order to divide the sky domain and the non-sky domain more accurately, the two results obtained by the threshold segmentation method for the dark channel map and the improved threshold segmentation method for the original foggy image are considered at the same time. In the step of estimating the transmittance of the sky domain, the dark channel map of sky domain is obtained based on HSI color space, making the sky area more natural after defogging. Experimental results show that the algorithm can achieve good defogging effect, smooth edge transition between regions, and the defogging images are more natural and clear.
Studies on the influence of speckle density on the accuracy of digital image correlation method based on numerical simulation
Authors: Junyao Song , Zibin Liu , Chuan Luo 
Published: July 2021

Abstract
Digital image correlation method is a high-precision non-contact modern optical mechanics method whose measurement accuracy is directly affected by the quality of the speckle pattern used. In this paper, a numerical simulation experiment is designed to measure and analyze the accuracy of DIC method using speckle patterns which are generated with different speckle densities. The results show that the measurement error of DIC decreases first and then increases with the increase of speckle density, and the error is minimum when the duty ratio is about 60% to 70%. The result show that in practical application the duty ratio of speckle on the specimen surface should be appropriately high, preferably between 60% and 70%. This study is helpful for speckle selection and related research in practical application.
The influence analysis of Active Distributed Jamming on radar detection probability
Authors: He Ailin , shi Feng , Li xiaobin 
Published: July 2021

Abstract
In this paper, we studied the influence of active distributed suppression jamming on radar detection probability. Firstly, the radar detection probability models of three kinds of target echo signals, namely, deterministic signal, Swerlling type I and II signal, Swerlling type III and IV signal, are established under the condition of active distribution; Then, the influence of distributed jamming on the detection probability of three kinds of target echo signals is simulated and analyzed in two kinds of scenarios of distributed support jamming and long-distance distributed support jamming. The simulation results show that the noise power entering the main lobe has the greatest influence on the radar detection probability, but when the noise power in the main lobe increases to a certain extent, the influence on the radar detection probability is not obvious.
Resource-aware fluid scheduling with time constraints for clustered many-core architectures
Authors: Yin Anqi , Guo Yuanbo , Tang Di 
Published: July 2021

Abstract
With the rise of many-core processors, real-time applications processing obtains better performance acceleration and parallelization freedom. A validate schedule is able to minimize system resource consumption under the time constraints, which has become a focus recently. This paper establishes an accurate fluid task model and an optimal integer linear programming (ILP) model further. These models not only realize the flexible parallel scheduling, but also achieve co-scheduling between computing and communication resources. Moreover, a heuristic algorithm is presented to generate near-optimal solutions within polynomial time. The experimental results show that the proposed approach is validate and capable to balance the time and resource consumption effectively. It leads the improvement of schedulability and validity up to 68.67% and 24.67% respectively, with 13.16% reduction of the system density averagely.
Analysis of data crawling and visualization methods for recruitment industry information
Authors: Zihan Song , Yanhong Yang , Hongtai Guo 
Published: July 2021

Abstract
With the popularity of the Internet, major job boards have become the main way for job seekers to obtain information, but the current job boards generally lack clear information display, overall industry trend analysis and data visualization, which makes job seekers fall into confusion. In this paper, we first crawl the job boards based on Scrapy framework, store the data in EXCEL after cleaning, explore the potential connection between different data through Apriori algorithm, and finally visualize the different job information in a targeted way. In this paper, we take the job information of printing industry as an example for implementation, extract key information, and propose a suitable visualization method for different types of job information. The method proposed in this paper can not only help job seekers understand the current talent demand of the industry in a simple, intuitive and fast way, but also has some guiding significance for the talent training program of universities.
Single image dehazing based on fusion of sky region segmentation
Authors: Li Simeng , Zhou Qinghua 
Published: July 2021

Abstract
In order to solve the problem of image sharpening with sky region, a single image dehazing method combining sky region segmentation was proposed. Firstly, a fusion sky segmentation method combining OTSU algorithm with Canny operator edge detection is proposed to divide foggy image into sky region and non-sky region. Secondly, a linear index was constructed for the sky region using the dark channel prior sky transmittance to modify the sky region transmittance. For the non-sky region, a fast guided filter was used to optimize the dark channel prior non-sky transmittance. The two were combined to obtain the final transmittance, and the atmospheric light value was optimized by means of average estimation. Finally, combined with the atmospheric scattering model, the image is reconstructed dehaze. The experimental results show that the proposed method can segment the sky more accurately, estimate the atmospheric light value and transmittance more accurately and efficiently, and has the advantages of high contrast, natural color and clear details.
Deep Program Representation Learning Analysis for Program Security
Authors: Li Na , Zhang Haoyu , Hu Zhihui , Kou Guang , Dai Huadong 
Published: July 2021

Abstract
As the scale of software and the complexity of programs continue to grow, it is hard to meet development of modern computer technology only by manually extracting program features. In recent years, deep learning has achieved rapid development in different fields. Program representation learning based on deep learning has been widely used in many works, such as software vulnerability analysis, program analysis and malware detection. And it has gradually become a hot research direction in information security. After the deep analysis of existing research work on automatic program security detection, we catalog deep program representation learning for program security based on data representation and provide a comprehensive overview of deep program representation learning for program security under different application scenes. Then, we propose a deep program representation learning framework for program security. Finally, we conduct comparative analysis and summarize the challenges in deep program representation learning for program security.
An Analysis on the Crisis of “Chips shortage” in Automobile Industry ——Based on the Double Influence of COVID-19 and Trade Friction
Authors: Wu Xiling , Zhang Caihua , Du Wei 
Published: July 2021

Abstract
The COVID-19 pandemic and various infection control measures have made a great impact on the regular operation of global integrated circuit companies,which caused the“Chips shortage” Phenomenon in the automotive industry. Based on data collected from official channels, industry associations, SIA and enterprises, this paper performed an empirical analysis on the structure of global integrated circuit market, and studied supply and demand in the market. The results of the analyses showed that:1) the pandemic control measures and the re-allocation of market resources are the short-term factors unbalancing the supply and demand for automotive chips. 2) the global shortage of Chips of the automotive industry may continue and the risk of breaking the industrial chain is increasing. Because it is a long industry chain which relies on efficient cross-border collaboration, but it is lack of international prevention and control cooperation mechanism altogether. The current situation presents both challenges and opportunities to China. This paper proposes that China should take efforts in strengthening international cooperation; and improve the core competitiveness of China’s chip industry by the top-level designing and encouraging domestic enterprises to invest in research and development,and to improve their technical performance.