bluuebunny/crossref_metadata_2025 huggingface dataset:
The Application of Wireless Network in the Process of Remote Data Collection
Authors: Lv Hong , Huang Weina
Published: December 2021

The use of wireless network for remote data collection can provide a fast and reliable wireless data transmission channel for those monitoring points involving a wide area and scattered equipment layout with the help of its large coverage and high communication quality. This article analyzes the characteristics and advantages of wireless networks, and then discusses the networking scheme for remote data collection using wireless networks, and analyzes the reliability of network transmission. Finally, some program fragments on the server side are given.
Design and Application of Model Based on Bayesian Network
Authors: Shi Ying
Published: December 2021

At present, Bayesian networks lack consistent algorithms that support structure establishment, parameter learning, and knowledge reasoning, making it impossible to connect knowledge establishment and application processes. In view of this situation, by designing a genetic algorithm coding method suitable for Bayesian network learning, crossover and mutation operators with adjustment strategies, the fitness function for reasoning error feedback can be carried out. Experimental results show that the new algorithm not only simultaneously optimizes the network structure and parameters, but also can adaptively learn and correct inference errors, and has a more satisfactory knowledge inference accuracy rate.
Structure and System Design of Stacking Robot Based on Oil Field Pipe Products
Authors: Sun Feng , Yin Xiaoli
Published: December 2021

Stacking robot is one of the core equipment of automated warehouse, and it is also the main cargo access equipment. Stacking robot consists of three main parts: control system, measurement and servo system and mechanical system. With the development of computer control technology and logistics storage technology, stacker is widely used and its technical performance is getting better and better. At the same time, in order to meet the requirements of large-scale three-dimensional warehouse, its overall height keeps climbing. Automatic storage has become one of the symbols of enterprise modernization, and stable, reliable and practical stacking robot is the key. The stacking robot is the carrier to realize the flow of materials. It runs back and forth in the high-rise shelf roadway to store or take out the goods, so as to realize the flow of materials. The advantages of automated warehouse must be fully reflected by the stacker. As the most important handling equipment in the three-dimensional warehouse, the stacker requires fast, stable, safe, reliable and accurate operation. In this paper, the structure and system of the stacking robot for oilfield pipe products are analyzed.
Research and Simulation of Handover Algorithm in Mobile Communication System
Authors: Sun Lihua
Published: December 2021

In order to improve the handover rate and quickly handover the target cell, the handover control algorithm of the mobile communication system is explored, and the handover algorithm that combines signal strength and signal quality is researched. At the same time, it is experimentally demonstrated, and the handover user and the new user will be connected. The influence of the entry control threshold setting on the system was compared.
Research on the Trajectory Planning and Control Technology of Industrial Robots Guided by Computer Visualization
Authors: Tian Suling , Chen Mingying , Li Yuanyuan
Published: December 2021

With the popularization of computers, the development of all walks of life has become more rapid. This article mainly analyzes the mechanical structure design of the Cartesian coordinate robot system, it also studies the motion control.
Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology
Authors: Wang Xi
Published: December 2021

With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufacturing is based on computer simulation technology and information and communication technology, optimize the production design of the factory and simplify the production process of the factory, the purpose is to reduce the waste of resources and improve the reasonable allocation of production resources.
Research on Intelligent Processing Technology of Computer Image Recognition Based on Machine Vision
Authors: Wei Ying , Huang Yuejuan , Zhang Na
Published: December 2021

Although computer image recognition can distinguish very clear images, it is only limited to a certain number of years. Or it can only be clearly distinguishable from some range of graphs, and expanding the range or changing the range will not achieve the state that people want it to achieve. Nowadays, China’s equipment in this field can only conduct activity research in the two-dimensional space, and can only decompose and analyze the two-dimensional pictures. For high-dimensional and complex graphs, they still cannot be processed and the processing requirements are not up to standard. Moreover, the development of this technology is also affected by many human factors. The operation and implementation of this technology mainly rely on the high-energy and powerful processing power of the big data computing system. If we want to ensure the quality of image processing is very good, we must closely combine the recognition image and the related technology of the computer, and do not separate from each other. In this paper, the development of the technology from the status quo, the development of the principle and characteristics of the development of the technology for an in-depth study of the technology, but also the development prospect of the technology is described.
Research on the Application of Computer Software Development Technology in the Data System of Internet of Things
Authors: Yan Lu
Published: December 2021

With the integration of the global market and the development of science and technology, people have higher and higher requirements for the efficiency of life and production. These high requirements prompt the improvement of the existing business model in the market. The Internet of things is a new form of organization produced in this case, which can help the market to form a complete network. At present, there are still some problems in the data system of the Internet of things, which need to be solved by using advanced computer software development technology. This study describes three parts: the overview of computer software development technology, the overview of Internet of things data system and the application of computer software development technology in Internet of things data system.
System Design and Realization of Computer Image Processing Technology in Comic Creation
Authors: Yang Na
Published: December 2021

As an important branch of computer technology, computer graphics and image processing technology has been widely used in visual communication systems. Works designed with graphics and image processing technology have a strong impact on people’s vision. The birth of this technology has enriched creators’ creative means and improved innovation. Through the research on the related content of computer graphics and image processing technology, and make the designer’s work more perfect.
Web Service Performance Analysis and Research of Distributed LAMP Architecture
Authors: Yang Yuan
Published: December 2021

There are many websites on the Internet in the early stage of development, its Web service performance is not strong enough, resulting in the failure to run the system and finally the system crash. Based on this situation, in order to ensure the accurate and efficient service of the Internet website, it is necessary to analyze and study the service performance of the Web. Distributed LAMP architecture studies and analyzes the performance of Web services, which can accurately discover the performance defects and problems of Web, and research a more appropriate configuration of service performance, and the final results presented are more accurate and effective. With the deepening development of the Internet application, the website has become a key window for many people’s information sources. Through the Internet website, we can not only understand the world more comprehensively, but also learn more knowledge. Therefore, building Web services with better performance is something we should consider. In this paper, the performance of the Web server was optimized and improved through the analysis and research of the load of the Web server, and the tuning test was carried out through distributed LAMP architecture by observing the Web service’s access to users, data information maintenance and monitoring, etc.
Research on Information Security Technology of Intelligent Home Remote Control Terminal
Authors: Yu Ping , Yang Qiang
Published: December 2021

The development of remote-control technology of smart home promotes the rapid development of remote-control information. The use of remote-control information is closely related to the transmission efficiency and application of information data. At the same time, the research of remote-control technology of smart home is also the basis of realizing information sharing. To this end, this paper is the development of remote-control information in the new period and the challenge for the smart home remote control technology is expounded, and then on the basis of in-depth study in the new period in remote control information large data storage and management of application analysis, and put forward for the remote-control information data storage strategy, hoping to bring positive influence.
Research on Architecture Aided Design Methods and System Based on Deep Learning
Authors: Yuan Jupu , Ye Feng
Published: December 2021

The utilization of deep learning in the field of building aided design has broad space and potential, especially to improve the perfection of architectural design, the visualization of functionality, the construction progress and the construction cost. Based on this, this paper first analyses the concept and connotation of deep learning, then studies the utilization value of deep learning in building aided design, and finally gives the utilization strategies and meanss of deep learning in building aided design.
Research on the Detection of Vehicle Vibration and Noise Signal Based On Negative Entropy Detection Algorithm
Authors: Zhai Naibin , Zhao Haijun , Cui Xintao
Published: December 2021

As an important part of vehicle noise signal detection and processing, negative entropy detection algorithm can accurately reduce the number of speech coding bits, ameliorate the recognition accuracy, and establish the noise model in the process of noise reduction. Based on this, this paper first analyses the source and control of vehicle vibration and noise, then studies the principle of negative entropy detection algorithm of vehicle vibration and noise signal, and finally gives the vehicle vibration and noise signal detection method based on negative entropy detection algorithm.
RETRACTED: Research on User Experience Design of Smart Home Products Based on Internet of Things
Authors: Zhuang Fei
Published: December 2021

With the continuous amelioration of people’s living standards, people’s expectations for the experience of the home environment are also increasing. Using the Internet of things to carry out user experience design of smart home products can bring people more interactive experience and services. Based on this, this paper first analyses the concept and value of smart home products, then studies the experience design of smart home products based on the Internet of things, and finally gives the experience design strategy of smart home products based on the Internet of things.
A Study on Intelligent GIS Installation System Based on Six-DOF Parallel Multi-axis Motion Control
Authors: Liu Ti , Mao Hongwei , Lei Dong , Li Boming , Fu Dahong
Published: December 2021

Aiming at the connection of pipelines during the GIS installation process of power transmission and transformation projects, this subject designs and produces an intelligent GIS installation system based on 6-DOF parallel multi-axis motion control, which is applied to practical applications. The intelligent installation system can realize six independent motions and their combined motions in three-dimensional space. Relying on the multi-dimensional visual positioning system, through the six-degree-of-freedom parallel multi-axis motion control system, the precise docking during the installation of the precision GIS cavity can be realized.
Research on Design Scheme Optimization of Transmission Line Based on Internet Technology
Authors: Chen Nan
Published: December 2021

As an important part of the power grid, the rationality and scientificity of the design scheme of transmission line not only relates to the stability and reliability of the whole power grid system, but also plays an important function in the energy loss and efficiency amelioration of the power grid system. Based on this, this paper first analyses the function and characteristics of the transmission line, then studies the meteorological conditions of the transmission line design under the Internet tech, and finally gives the design optimization principles and strategies of the transmission line.
Design of Regenerative Flutter Stability Detection System in Machine Tool Cutting
Authors: Li Liyao
Published: December 2021

Cutting chatter is a strong relative vibration between cutting tool and work piece in machining process, which will reduce cutting quality and cutting efficiency, and shorten the service life of cutting tool and machine tool. As long as cutting is carried out in production, vibration will occur, and chatter is a strong self-excited vibration between machining work piece and cutting tool. Flutter problem will occur in almost all cutting processes, which will cause a series of problems such as the reduction of dimensional accuracy of machined work pieces, tool damage and so on. In the dynamic design and dynamic analysis of machine tool structure, in order to evaluate and improve the ability of machine tool to resist chatter, and to select the cutting conditions without chatter, it is necessary to judge the cutting stability of machine tool. How to improve the advanced technology of manufacturing industry is an important topic for manufacturing researchers, and the research on the detection of cutting chatter stability has important practical significance for promoting the development of cutting manufacturing industry to high-end technology.
Application and Design of Intelligent Building Automation Control System
Authors: Yu Haitao
Published: December 2021

Intelligent building is a safe, comfortable, efficient, energy-saving, convenient and flexible modern building designed and built by organically combining high-tech and architectural art. Building automation control system is an important part of intelligent building, which realizes its own development through the development platform of intelligent building. It can improve the quality of building entities and supporting equipment and the quality of building environment in intelligent building to varying degrees. The building automation system in the intelligent building takes the humanized interface as the emphasis, and takes the combination of mechanical and electrical system, fire control system, access control system and parking management system as the method to create a convenient and comfortable living and working environment for building users. This paper mainly studies the building automation control system of intelligent building, and then describes the content of the building automation control system in intelligent building, and at the same time, carries out in-depth research on related issues, hoping to provide reference for researchers in this field.
Research on Abnormal Detection Method of Data Flow Trend in Oil Drilling Engineering Early Warning
Authors: Yu Liwei , Feng Yutian , Wang Xintong , Wu Yuanyue , Liu Yutao
Published: December 2021

In this paper, by collecting and analysing the domestic and foreign oil drilling accident data and early warning technology, combined with the oil drilling process prediction and forecasting process deficiencies. Based on theoretical analysis and analysis of five typical accident modes in actual drilling rig engineering, the early warning method and train of thought of oil drilling engineering are established, and the index of early warning of accident is given. The sensitivity of various accident prediction indexes to the corresponding accidents is studied. On the basis of analysing the forecast signal and processing, the comprehensive model of accident early warning under multi-objective condition is established.
Application of BIM and GIS Technology in Urban and Rural Planning
Authors: Wang Li
Published: December 2021

For a long time, geographic information system (GIS) technology has been widely used in urban and rural planning. This paper first analyzes the background of urban and rural planning, introduces the concept of building information (BIM), and puts forward the building information model. Then the application of mobile off-line GIS is studied, and the characteristics of mobile GIS are known. Secondly, the concept of urban-rural integration is put forward, and two functions of urban-rural planning are found: macro-control means and public interest protection. Finally, the application of information technology in urban and rural planning management shows that the disposable income of urban and rural residents increases year by year, and the fastest growth in 2020 is 120 million yuan.
Neurophysiology Based on Deep Neural Network under Artificial Prosthesis Vision
Authors: Lin Xiangli
Published: December 2021

With the vigorous development of electronic technology and computer technology, as well as the continuous advancement of research in the fields of neurophysiology, bionics and medicine, the artificial visual prosthesis has brought hope to the blind to restore their vision. Artificial optical prosthesis research has confirmed that prosthetic vision can restore part of the visual function of patients with non-congenital blindness, but the mechanism of early prosthetic image processing still needs to be clarified through neurophysiological research. The purpose of this article is to study neurophysiology based on deep neural networks under simulated prosthetic vision. This article uses neurophysiological experiments and mathematical statistical methods to study the vision of simulated prostheses, and test and improve the image processing strategies used to simulate the visual design of prostheses. In this paper, based on the low-pixel image recognition of the simulating irregular phantom view point array, the deep neural network is used in the image processing strategy of prosthetic vision, and the effect of the image processing method on object image recognition is evaluated by the recognition rate. The experimental results show that the recognition rate of the two low-pixel segmentation and low-pixel background reduction methods proposed by the deep neural network under simulated prosthetic vision is about 70%, which can significantly increase the impact of object recognition, thereby improving the overall recognition ability of visual guidance.
Automatic Generation of Urban Road Planning Network Under Deep Learning
Authors: Zhong Qikang , Liu Qiuhong
Published: December 2021

With the rapid advancement of China’s urbanization process and the rapid increase of the number of motor vehicles, now the vast majority of cities in China are faced with traffic congestion, environmental pollution, noise pollution and other problems. Facing these problems, a road network with reasonable structure, proper layout and sufficient capacity has become an important basic condition for the sustainable development of urban traffic system. This paper mainly studies the automatic generation method of urban road planning network based on deep learning. In this paper, a model based on deep neural network is proposed, which integrates the knowledge of road planning domain and generative adversarial network, and can realize the generation of road network simply and quickly.
Fire Safety of Integrated Pipeline Corridor Cable Block Based on Numerical Simulation
Authors: Zhou Jianxin , Wang Yunlong , Ding Bin
Published: December 2021

The comprehensive pipe gallery is a tunnel space built underground in the city, which can centrally lay all kinds of municipal pipes in the tunnel for unified management, which can not only protect the pipes, but also improve the land utilization rate. However, with the increasing of integrated pipe gallery construction and pipeline inclusion, various safety accidents have appeared, among which the fire risk of cable cabin is the greatest. This paper mainly studies the fire safety of cable cabins of integrated pipe gallery based on numerical simulation. In this paper, PyroSim fire software was used to simulate the fire accident in construction. Through the investigation of the construction site, simulation parameters were set to simulate the fire situation in a real and objective way. The temperature, smoke and visibility changes under different working conditions were studied by setting several groups of thermocouples, smoke sensing points and visibility slices.
A Beidou + UWB + inertial Navigation Integrated Indoor and Outdoor Multi-Source Information Fusion Positioning System
Authors: Zhou Hangfan , Wang Cong , Ma Sheng , Zang Zhibin , Zhao Jianwei , Wang Peiguang , Nie Haitao
Published: December 2021

The article analyses the high-precision indoor and outdoor positioning system and its positioning method based on Beidou/UWB. And analyse the principles and characteristics of UWB technology. The article proposes a sequential filtering fusion algorithm for the ship’s integrated navigation system. The basic idea of the algorithm is to use the first-order Markov process to establish the noise model of ship motion, and use the state expansion method to transform the state equation into a basic equation that conforms to the standard Kalman filter. Theoretical research and experimental simulation prove that the filter introduced in the article is matched with the system and has high filtering performance and accuracy.
The Research Progress of Photoswitchable Wettability Materials
Authors: Wu Yuting
Published: December 2021

Surfaces with photo-responsive wettability can convert between hydrophobic and hydrophilic state via visible light or ultraviolet ray reversibly, which have attracted considerable attention and continue to be appealing and challenging. In this review, the classification based on their mechanism is introduced. The common fabrication approaches are outlined and also presented are the current and optional applications.
Simulation studies on the electron transport layer based perovskite solar cell to achieve high photovoltaic efficiency
Authors: Huang Rui , Tang Jiyu
Published: December 2021

Perovskite solar cells have attracted the attention of the researchers in the last couple of years as a potential photovoltaic device. However, the use of expensive hole transport materials (HTM) in these devices often restricts their commercial adaptability. Thus exploring cost-effective, efficient HTL and ETL materials remain an important challenge to the researchers. In this work, simulation studies are carried out considering cupric oxide (CuO), a relatively inexpensive material as hole transport materials for planar heterojunction perovskite solar cells. The photo-voltaic performance of CuO based hole transport layer (HTL) has been estimated in combination with several electron transport materials (ETM) that include TiO2,SnO2,ZnO, CdS, ZnSe,PCBM and Cd1-xZnxS. Studies predict that among these materials, the Cd1-xZnxS electron transport layer (ETL) could be the most promising to result high photo-voltaic efficiency in combination to CuO based HTL. Also, the thickness and optical band gap of perovskite absorber are optimized in order to achieve maximum photo-voltaic efficiency. The cell efficiency of FTO / Cd1-xZnxS/CH3NH3PbI3/CuO/carbon structure is predicted 25.24% under optimized operational conditions with Voc, Jsc and Fill Factor of 1.1eV,26.32mA/cm2 and 87.14% respectively.
The Detection of Hydrogen Peroxide by MOF-Based Nanoparticles with Micro Morphology Analysis by Transmission Electron Microscope
Authors: Liu Yuxiang
Published: December 2021

MOF materials are new types of nanozymes with catalytic activities. Herein, a nanozyme with peroxidase-like activities was synthesized and took on a cube-like morphology. Besides, the best environment and the detection limit of the nanozyme for hydrogen peroxide were also achieved through experiments.
Image Processing and Luminescent Probes for Bioimaging Techniques with High Spatial Resolution and High Sensitivity
Authors: Ge Zizheng , Liu Wentao
Published: December 2021

The balance of microenvironmental factors (including temperature, pH, ROS species, etc.) plays a crucial role in maintaining normal living organisms’ normal physiological activities and physiological functions. Therefore, armed with the unique superiorities of high spatial resolution, non-invasion, high sensitivity, real-time monitoring, and simple operation, luminescent imaging technology has been widely used in real-time and accurate monitoring of microenvironmental factors in these organisms to prevent, diagnose and treat related diseases in time. However, due to its optical imaging characteristics, it is also faced with such interference factors as relatively shallow imaging penetration depth, background fluorescence (biological autofluorescence) interference in a complex environment, uncertain probe concentration, and unstable laser power in the imaging process, which are not related to the analyte. As for the problems in imaging, such as the uncertainty of probe concentration and the fluctuation of instrument laser power, the ratio detection, and imaging technology with self-calibration function can effectively avoid these problems. As for background fluorescence interference in imaging, probes with long-life emission can be used in imaging. The long-life luminescence of probes from background fluorescence can be recognized by time-resolved luminescence imaging technology to reduce its impact. This paper briefly introduces and summarizes the relative research of ratio detection and imaging technology and time-resolved luminescence imaging technology.
Plasma-Profile Control in an ICP Reactor
Authors: Wu Songyao , Li Yinghui , Xu Haojun , Lin Mao , Zuo Renwei , Qiu Xiaonan
Published: December 2021

ICP is widely used in electromagnetic scattering due to its high electron density and simple structure. The distribution of plasma parameters can affect the electromagnetic scattering, so the control of plasma parameter distribution is very important for aircraft stealth. Firstly, the effect of the number of coil turns on the plasma parameter distribution is analyzed. With the increase of the number of coil turns, the peak value of induced magnetic field decrease, the width of magnetic field increase and the homogeneity of plasma increase. Then, the Boltzmann solver is used to calculate the plasma electron energy distribution function at different positions under the four-turn coil. Finally, the influence of external circuit capacitance on plasma parameter distribution is analyzed. In this cavity structure, the electron density first increases and then decreases with the external circuit capacitance increase, and the peak value is on 75 pF. In this study, we propose a method to further regulate the plasma parameter distribution by using terminal capacitance to control the induced magnetic field.
Research on automatic physical testing method of relay protection equipment through data fusion technology
Authors: Wang Yu , Xu Changbao , Zhu Jianyang , Xin Mingyong , Zhang Li
Published: December 2021

Intelligent substations can accomplish deeper and more complex substation information exchange and processing by virtue of their equipment intelligence and data integration. In this paper, a relay protection equipment test system for intelligent substations is investigated for intelligent relay protection equipment. By applying data fusion technology in the testing process, functions such as automatically obtaining the action information of secondary devices and judging the response status of secondary devices can be accomplished. Applying the test system proposed in this paper to high-voltage line protection devices, the results show that the relay protection equipment test system can optimize the relay protection equipment test process, which further improves the accuracy and efficiency of relay protection equipment testing.
Research and Application of Standardized Technology for Physical Characteristics Risk Monitoring and Assessment of Nuclear Power Plant
Authors: Chen Qian , Zhang Xiaofeng , Yu Jiahuan
Published: December 2021

Environmental risks generally exist in various production activities. Based on existing research foundation, in order to solve the related problems in the field of environmental risk of nuclear power plants, this paper conducts in-depth research and discussion on the monitoring and assessment of environmental risks of nuclear power plants. This paper proposes a set of standardized technical framework, based on this framework, an application platform is designed and implemented and applied to the environmental risk monitoring, assessment, and management of nuclear power plant.
Low-power 25Gb/s 16:1 Multiplexer for 400Gb/s Ethernet PHY
Authors: Zhan Yongzheng , Li Tuo , Yue Yuqiu , Liu Tongqiang , Zhou Yulong , Zou Xiaofeng
Published: December 2021

A lower power 25Gb/s 16:1 multiplexer using 65nm CMOS technology for 400Gb/s Ethernet (400GbE) physical layer (PHY) interface was presented. CMOS+CML mixed logic is adopted to achieve hierarchical architecture, avoiding the high clock requirement of one-step structure and improving the transmission speed. In order to reduce power while achieving high data rate, multiplexing structure is also optimized by utilizing multi-frequency multi-phase technology which not only ensures the requirement of the phase stabilization, but also leaves out some flip-flops. For CMOS-CML conversion circuit, transmission gate and cross-coupled CMOS inverter are used to match the delay of CMOS inverter, suppressing the effect of common-mode noise. Simulation results show that the multiplexer works correctly and jitter of output signal is less than 0.1UI. When voltage is 1.2V, the total power is 32.7mW at 25Gb/s.
Overshoot of D-dot sensor in measurement of electric field
Authors: Guo Jinghai , Ma Liang , Cheng Yinhui , Wang Xutong , Liu Yifei , Li Jinxi , Wang Wenbing
Published: December 2021

This paper analyzes the cause of the overshot of the signal measured by D-dot sensor, and points out that the second-order RLC equivalent circuit model can explain the overshot Taking the asymptotic conical antenna as an example, the inductance L of the second-order model is obtained by using CST simulation and Pspice parameter scanning method. The first-order model and the second-order model are used to calculate the electric field waveform. Under the given conditions, the first-order model is used to obtain the electric field waveform, the waveform overshot is serious, the maximum overshoot reaches 27%, while the second-order model is used to improve the ringing phenomenon, And the maximum overshoot is reduced to 5%.The results show that the second-order model is more accurate than the first-order model and can improve the precision of electric field measurement using D-dot sensor.
Research on testing method of solid-state disk used in intelligent security field
Authors: Sun Wei , Yang Hong , Lu Yao
Published: December 2021

This paper summarizes the specific requirement of SSD in intelligent security field and comparison of related lifespan and endurance test method.
Physical characteristics and spillage detection Using multi-feature fusion
Authors: Liu Caiyu , Zhou Zuofeng , Wu Qingquan
Published: December 2021

As an important part of road maintenance, the detection of road sprinkles has attracted extensive attention from scholars. However, after years of research, there are still some problems in the detection of road sprinkles. First of all, the detection accuracy of traditional detection algorithm is deficient. Second, deep learning approaches have great limitations for there are various kinds of sprinkles which makes it difficult to build a data set. In view of the above problems, this paper proposes a road sprinkling detection method based on multi-feature fusion. The characteristics of color, gradient, luminance and neighborhood information were considered in our method. Compared with other traditional methods, our method has higher detection accuracy. In addition, compared with deep learning-based methods, our approach doesn’t involve creating a complex data set and reduces costs. The main contributions of this paper are as follows: I. For the first time, the density clustering algorithm is combined with the detection of sprinkles, which provides a new idea for this field. II. The use of multi-feature fusion improves the accuracy and robustness of the traditional method which makes the algorithm usable in many real-world scenarios.
A Study on the logarithm correction of black hole entropy
Authors: Liu Chengyu , Wang Minxing , Yi Guanxing , Zhuang Yi
Published: December 2021

The logarithm correction of black hole entropy is important in understanding the essence of black hole entropy, providing a more accurate entropy calculation. We reviewed the mainstream method of logarithm correction of black hole entropy, including quantum loop gravity correction, conformal field theory correction, and classical thermal correction. Specifically, the correction of quantum loop gravity presents a stable general expression of logarithm correction, which only depends on the surface area of the black hole and solves the problem of meaningless entropy solution under a large length scale. Besides, the correction of the Cardy formula of conformal field theory is limited for the third term in depends on the mass of the black hole, which will finally lead to the unstable coefficient before the correction term. Finally, the correction deduced by the classical thermal method also gives a general expression of black hole entropy. In contrast, the entropy of BTZ black hole has a different coefficient before the logarithm term comparing to other kinds of the black hole. These results shed light for the research in general logarithm correction of black hole entropy, which is suitable for all kinds of black holes.
Research on the analytical development and progress of gravitational wave detection technology
Authors: Tian Yichen
Published: December 2021

This article demonstrates the basic principle and the recent progress of gravitational wave detection based on information retrieval and literature review. The article describes and illustrates the gravitational wave, including the description of the adopted field equation and its properties. There is also a demonstration of the principle behind the first direct gravitational wave detection. Some other potential ground-based detectors, e.g., KAGRA and space-borne detectors, are also listed and contrasted. Since gravitational waves tend to retain themselves from interacting with matter, which travels from a much earlier time than Electromagnetic waves and should be a vital component to Cosmology studies, the space-borne detectors Taiji and LISA will also interlace with each other to explore deeper space in the 2030s, which would be significant progress in gravitational wave Astronomy. This article employs literature analysis that examines papers that discuss the nature of gravitational waves and their detection. These analyses will shed light on gravitational wave detection development.
The progress of gravitational wave detection in China and its further physical application
Authors: Liu Zihan , Shen Hao , Xiao Zeyu
Published: December 2021

Contemporarily, a gravitational wave is one of the most important approaches to gather information from the enormous universe. In short, a gravitational wave is a wave that carries energy, and it is created by the acceleration of massive celestial body propagation with a speed of light. This paper discusses the recent progress of gravitational wave detection in China and clarifies our own opinion on future development. Specifically, a basic description is first presented about the definition and basic knowledge for gravitational wave models and detection methods. Subsequently, this section contains the plan and achievement of the Chinese gravitational wave observatory. Finally, the usages and applications of the gravitational wave to help to detect more phenomena in the universe are demonstrated. These results shed light on a clearer picture of gravitational waves, which may offer a better understanding of the background, principle of detection, and the uses of gravitational waves, i.e., emphasizes its importance in modern astrophysics scientific researches.
Novel sensor applications and research in outdoor by mobile communication and signal transmission technology
Authors: Zhou Xiaoming , Xu Yuanyuan
Published: December 2021

Human adaptation and surface sensations to environmental and climate change during outdoor exercise are often not fully consistent with the true responses of body organs. Body surface sensations may be adaptive and insensitive due to prolonged outdoor activity. This causes the body surface to be insensitive or under-responsive to rapid changes in the external environment, when the internal organs of the body are sometimes working at abnormal indications, and if this unhealthy condition continues for a long time and progresses to a dangerous condition, the danger is approaching and the body may enter a state of paralysis at this time without knowing it. This is where a wearable system that monitors environmental and physiological indicators in real time and analyzes the measured data to broadcast early warnings is needed. This system adds a certain degree of safety to outdoor sports, and the data can be used as a reference for the scientific validity of the exercise.
Real-time monitoring software for electric vehicle battery power based on WeChat applet
Authors: Wang Anrui
Published: December 2021

Batteries are an important part of contemporary automobiles. With the increase in the output of family cars and the development of science and technology, the demand for batteries in the automotive market is increasing rapidly. A major problem with existing car batteries is that it is difficult for users to obtain information about the current battery power in real time, especially when driving away from vehicles and cars, there are huge safety hazards; therefore, a real-time monitoring of car battery power is researched. The system has important practical significance.
Three-Dimensional Geographic Information System Assisted Intelligent Review of Power Grid Design
Authors: Jin Yao , Tan Xiaozhe , Miao Linghou , Zhao Jie , Song Zhuoyan , Yu Wenxing , Xue Binglei , Shao Dongliang
Published: December 2021

In order to strengthen the management of the three-dimensional design review of power transmission and transformation projects, the Ministry of Infrastructure of the State Grid has successively issued the “Notice of Guiding Opinions on the Management of Preliminary Evaluation of Three-Dimensional Design of Transmission and Transformation Projects” and the “Preliminary Review Outline of Three-dimensional Design of Transmission and Transformation Projects (for Trial Implementation) )announcement of”. At present, most of the existing engineering design review systems are two-dimensional systems, which cannot visually display design results. In order to better display the results of three-dimensional design and improve review efficiency, it is necessary to apply GIS technology to the three-dimensional design of power transmission and transformation projects, and it is very necessary to develop a set of 3D GIS power transmission and transformation engineering design review system. In order to solve the above problems, the purpose of the present invention is to provide a method based on 3D GIS power transmission and transformation engineering design review, using 3D visualization technology to combine GIS with power transmission and transformation engineering design results to achieve visual browsing and query of 3D design models, and 3D design Achievement display,3D design results review and scoring,3D design model collision relationship calculation and other intelligent management applications.
Attitude stability control of micro-nano satellite orbit maneuver based on bias momentum
Authors: Xu Shuo , Lu Zhengliang , Zhang Xiang , Liao Wenhe
Published: December 2021

In this paper, an attitude stability control strategy based on cold air micro propulsion microsatellite orbital maneuver is designed. Firstly, the influence of environmental disturbance moment, uncertainty of rotational moment of inertia and thrust eccentricity moment on the attitude stability of the micro-nano-satellite is considered, and the attitude dynamics model of the micro-nano-satellite based on biased momentum wheel and magnetic moment device is established. Then, the disturbance moments such as environmental disturbance moments, rotational inertia uncertainty and thrust eccentricity moments are analyzed. In order to suppress the influence of various internal and external disturbance factors on the stability of the micro-nano-satellite during the deorbiting process, a robust adaptive sliding mode variable structure controller is designed. The designed robust adaptive sliding mode controller is able to compensate for various disturbances adaptively. The robust adaptive sliding-mode variable structure controller is designed with a reasonable distribution of torque considering the characteristics of bias momentum wheel control and magnetic control. Finally, numerical simulations are performed, and the simulation results show that the system has good robustness.
Tuning the electronic and magnetic properties of defect blue phosphorene by the adsorption of nonmetal atoms
Authors: An Guo , Chen Guoxiang , Chen Xiaona , Zhang Jianmin
Published: December 2021

Based on the first principles of density functional theory, the adsorption of nonmetallic atoms on the surface of defective blue phosphorene was investigated. The results show that the most stable sites of different nonmetallic atoms on the defect blue phosphorene are different. The nonmetal (B, C, N, O) atoms were adsorbed on SV and SW defects blue phosphorene respectively. It was observed that B, N adsorbed SV defect blue phosphorene systems exhibited semiconducting behavior, whereas O adsorbed SV defect blue phosphorene system exhibited metallic behavior, and C adsorbed SV defect blue phosphorene system exhibited magnetic semiconducting behavior. For SW defect blue phosphorene, the results show that B, N, adsorbed SW defect blue phosphorene showed magnetic semiconductor behavior, while C, O adsorbed SW defect blue phosphorene showed semiconductor behavior.
Research on Key Technology of Electrochemical Sterilization and Physical Application for Circulating Cooling Water
Authors: Wang Xiaohui , Song Chunyan , Xie Xueying , Zhang Nan , Guo Ruiqing , Zheng Hongyue
Published: December 2021

As a high-efficiency, low-cost, convenient and environmentally friendly sterilization technology, electrochemical disinfection has developed rapidly in recent years. Electrochemical sterilization is an environmentally friendly sterilization technology. The research progress of this technology in the recent 30 years in sterilization mechanism and electrode materials is summarized. The mechanism of electrochemical sterilization includes the chemical effects of active chlorine, active intermediates, copper or silver ions, and the physical effects of electric fields; the electrode materials used are titanium anode, carbon cathode, and anode. The article combined with electrochemical equipment in a thermal power plant cold open circulating cooling water treatment experiment. Experimental research found that under the conditions of current density of 120A/m2, residence time of 10s, and electrode spacing of 1.8cm, the bactericidal effect can reach 97%. Under certain experimental conditions and a certain period of time, the total number of heterogeneous bacteria in the circulating cooling water after treatment can be effectively inhibited.
Fault Tolerant Control of PMSM Three-Phase Four-Switch Inverter
Authors: Cao Yuan , Jing Fuzhi , Wan Heng
Published: December 2021

Permanent Magnet Synchronous Motor (Permanent Magnet Synchronous Motor, hereinafter referred to as PMSM) has the characteristics of small size, high efficiency, high power density and fast dynamic response, etc., and more and more applications in the transportation industry. This also has higher and higher requirements for the reliability and security of PMSM drivers. In this paper, the fault tolerant control strategy of PMSM based on three phase four switch inverter is proposed based on vector control and the simulation verification is carried out.
Study on temperature- microstructure- stress fields of thick-walled plate welded by hybrid laser arc welding
Authors: Zhang Hongjie , Han Tao , Wang Yong , Wang Bangyu , Chen Guangxue
Published: December 2021

The 25mm DH36 steel was welded by hybrid laser arc welding (HLAW), and a sequence coupled thermal-metallurgical-mechanical (TMM) model was developed based on SYSWELD. The temperature-microstructure-stress fields are predicted by simulation verified by experiment. The ratio between the arc and laser energy showed a significant effect on weld profile. The laser provided the main power and ensured deep penetration, and the arc power showed a dominant effect on the bead width of the hybrid weld during HLAW. For the hybrid welding of a thick-walled plate, the microstructure and thermal cycles varied along with the thickness. The weld profile and microstructure were experimentally characterized. The 3-pass welding procedure produced larger welding residual stress than the 9-pass welding procedure, and the process stability is poorer than the 3-pass welding process. Overall, numerical results matched well with experimental results.
Comparison of microstructure and mechanical properties of plastic mould steel for physical application
Authors: Sun Kangbin , Cai Yujun , Gu Liwen , Wu Zhenghuan , Huang Lifeng
Published: December 2021

In this paper, plastic mold steel S136 and S136 SUP were studied for microstructural observation and mechanical properties through metallographic, SEM, EDS, XRD, hardness test and impact test. The results showed that after the same heat treatment, the martensite structure of S136 SUP was denser, the carbides were more uniform and finer, and the hardness was slightly lower but the toughness was greatly increased compared with that of S136. the residual austenite content of S136 and S136 SUP were 2.46% and 10%, respectively, and the heat treatment hardness was 50.1 HRC and 49.1 HRC, respectively. The impact toughness was 90.6 J and 299.1 J.