bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application and Design of Intelligent Building Automation Control System
Authors: Yu Haitao 
Published: December 2021

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Physical characteristics and spillage detection Using multi-feature fusion
Authors: Liu Caiyu , Zhou Zuofeng , Wu Qingquan 
Published: December 2021

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.