bluuebunny/crossref_metadata_2025_split huggingface dataset:
The calculation of double integrals
Authors: Jiang Yinshan 
Published: October 2020

Abstract
The calculation method of double integral is as follows; (1) Define the method; (2) The double integral is calculated using rectangular coordinates; (3) Double integrals are calculated using polar coordinates; (4) The double integral is calculated by using the symmetry of the integral region and the parity of the integrand function.; (5) The double integral is calculated by block integral method; (6) The double integral is calculated using the translation of the coordinate axes; (7) Double integral is calculated by centroid formula.
An efficient method to identify thermal conductivity of orthotropic material based on BP neural network algorithm
Authors: Li Xiang , Ma Rui-Feng , Tang Zhi-Yin 
Published: October 2020

Abstract
BP neural network algorithm is used to identify the three-dimensional orthotropic thermal conductivity. The finite volume method is used to solve the forward heat transfer problem, and the training samples for neural network inversion identification are obtained. According to the identification results, the temperature field is reconstructed. Through the analysis of the calculation results, it is found that the accurate identification of three-dimensional orthotropic thermal conductivity can be realized by using BP neural network algorithm. When the temperature measurement error is less than 0.5 °C, the maximum identification error of thermal conductivity is only 3.5%.
Research on 5G Mobile Communication Network Security Technology
Authors: Zhan Weishu , Tao Zhen 
Published: October 2020

Abstract
With the infiltration of computer networks in various fields, more and more social and economic activities rely on mobile communication networks. Network attack methods are becoming more and more advanced, resulting in frequent network security accidents, and modern mobile communication network security defense is facing greater threats and challenges. The 5G mobile communication network is an important infrastructure for building a networked society and realizing the interconnection of all things. In the future, the development of various industries will be based on the rapid development of mobile communication technology in 5G. 5G utilizes the changes and innovations in system architecture and core technologies to achieve network layout. The security protection technology and security guarantee mechanism of 5G networks are very important. In the context of the gradual implementation of 5G mobile communication networks, this paper focuses on the security aspects of 5G mobile communication networks, from business slice security, pseudo base station attack behavior analysis, and user privacy protection to its security threats, security needs, and facing Analyzed the technical challenges of the network and researched relevant network security defense technical measures, providing references for the technical research and network implementation and deployment of 5G mobile communication networks.
Finite-time Passive Analysis and Passification for Nonlinear Neutral Stochastic Systems with Uncertainties and Time-varying Delays
Authors: Yu Shengchun , Jin Jiangshan , Chen Guici 
Published: October 2020

Abstract
The finite-time passive analysis and passification problems of neutral stochastic systems (NNSSs) with nonlinear uncertainties and time-varying delays are investigated in this paper. To guarantee the finite-time passification of NNSSs with nonlinear uncertainties and time-varying delays, a state feedback controller is designed respectively, which are delay independent and delay dependent, respectively. By constructing proper Lyapunov-Krasovskii functionals, several sufficient conditions are obtained in terms of linear matrix inequalities (LMIs), in which the free-weighting matrix and sector conditions are involved. Finally, a numerical example with simulations is given to demonstrate the correctness of the derived results and the effectiveness of the proposed methods.
A risk assessment system of COVID-19 based on Bayesian inference
Authors: Wei Jie , Li Yiqiang , Nie Yufeng 
Published: October 2020

Abstract
The novel coronavirus disease (COVID-19) has now spread to most countries in the world. Preventing and controlling the risk of the coronavirus disease has rapidly become a major concern. A risk assessment system of novel coronavirus disease is proposed based on Bayesian inference in this paper. The system includes multiple handheld terminals and a cloud processing centre. The handheld terminal measures, records, and uploads the individual’s physical information (e.g., body temperature, cough) and GPS information of the terminal. We establish a Bayesian diagnosis network to deduce the risk probability related to the individual’s detection information. The cloud obtains the individual’s detection information and positions in last 14 days, and estimates the epidemic risk probability using Bayesian inference. This probability can be helpful for relevant institutions to judge the individual’s risk levels and corresponding measures. This risk assessment system, which assesses the COVID-19 risk of subjects dynamically, can not only assist and guide the normalization of epidemic prevention and control in relevant institutions, but also assist in epidemiological case tracing.
The Black Hole Paradoxes and Possible Solutions
Authors: Dai Xuer 
Published: October 2020

Abstract
Quantum mechanics and general relativity have some irreconcilable contradictions, causing the black hole information and firewall paradoxes. This paper investigates the cause of these two paradoxes and provides some possible solutions. The information paradox wants to explore if the information falling into the black hole really gets lost. The article briefly introduces the principle of Maldacena’s Duality, the black hole complementarity principle and other models to solve it. The firewall paradox tries to find if things passing the black hole horizon would be destroyed by a firewall. The introduction of computational complexity and the model of ER=EPR may resolve this paradox. Moreover, if the firewall really exists, the rebound of the gravitational wave when hitting the firewall may help detect it. In general, the solutions of the black hole paradoxes may provide us with a possible way of unifying quantum mechanics and general relativity.
The Applications and Challenges of Quantum Teleportation
Authors: Liu Tao 
Published: October 2020

Abstract
Quantum teleportation plays a crucial role in information science for its property of completely secure transmission. It was first demonstrated as a means of transferring the quantum state. Later, it has been extended greatly in the field of quantum computing, quantum network, and quantum communication and other fields. The first part of this paper will talk briefly about the basic theory of quantum teleportation and the applications that have been achieved in recent years in both commercial and scientific purposes. Next, the results of current experiments and the challenges that should be overcome in the future will be presented. The final section will be a discussion about the development of quantum teleportation and its future implementations.
CAViaR and the Empirical Study on China’s Stock Market
Authors: Wu Dongyu 
Published: October 2020

Abstract
The patterns of China’s stock market during 2004 and 2020 are characterized by Value at Risks (VaR) of 3 important stock indexes: Shanghai Security Composite index (SSEC), Shanghai Stock Exchange B Share index (SHBSHR) and Shenzhen Security Component index (SZSC), applying conditional autoregressive value at risk (CAViaR) model. The estimation results fit the real situation well. The unique style of news impact curves illustrates the peculiarity of China’s stock market caused by imperfect market mechanism and the small traders’ psychology-overconfidence. By comparing the estimation results, we found that SAV was a proper model for calculating 1% VaR of both SSEC and SHBSHR, while it was better for SZSC to choose Indirect GARCH model for 1% VaR estimation.
Fluid Mechanics Analysis of the Sweep Motion of Tuna Median Fins
Authors: Li Xiaohu , Xu Jing 
Published: October 2020

Abstract
Study has shown that tuna can improve hydrodynamic performance and turning maneuverability by rapidly and accurately changing the shape of its median fins. In this paper, the shape change of tuna median fins is simplified as the sweep motion. The fluid mechanics analysis of the sweep motion is carried out from the aspects of rectilinear cruise and turning maneuver. The results show that the sweep motion of the median fins plays a different role in rectilinear cruise and turning maneuver. When in a rectilinear cruise, tuna should increase the sweep angle to reduce the drag force. For turning maneuver, a larger sweep angle of the median fins can provide more positive turning torque to assist tuna to steer efficiently in the early and middle stage of turning process, while a smaller sweep angle should be taken in the later turning period.
Bibliometric Analysis of the Research Status of Tangka Images at Home and Abroad
Authors: Zhao Yan , Zhou Liang , Liu Zilong 
Published: October 2020

Abstract
Carrying out research on Thangka images is of great significance for accelerating the construction of China’s cultural industry, especially the protection of Thangka’s cultural heritage. This paper will analyse the current research situation of Thangka images at home and abroad to provide reference for relevant personnel. This paper uses Chinese academic journals, doctoral and master’s degree thesis, international conferences, and English journals as information sources to perform quantitative analysis on the research results of the Thangka images published in them. The search process does not set a time limit, and uses CNKI and Excel analysis tools to relevant topics of the 55 Chinese documents and 21 foreign literatures are subject to annual trend analysis, document source analysis, author analysis, and distribution agency research. By this paper, the development trends, important information sources, important authors, and important research institutions of Thangka image research are obtained.
Research and Development of NDIR Sensor and Its Application In On-Line Detection of CF4 Gas
Authors: Chen Yongtao , Zhang Shiling , Yao Qiang 
Published: October 2020

Abstract
Due to the excellent insulation and arc extinguishing properties of SF6 gas, it is widely used in the production and use of high voltage GIS. However, due to the breakdown of discharge and overheat, SF6 gas decomposes and produces a variety of low fluorine sulfides. Therefore, the concentration of CF4 gas in the high-voltage switch state can be effectively determined by detecting high-voltage GIS. This paper puts forward a kind of semiconductor laser based gas detection (NDIR) technology, the flange fixed installation in high voltage switch, optical fiber sensing structure can realize remote, real-time online monitoring of CF4 gas content. The experiment shows that the flange fiber optic sensor on-line monitoring device can realize the effective measurement of CF4 gas. The research results show that maximum field intensity on the surface of basin insulator is 10.788kV/mm, which is lower than the control field strength of 20kV/mm under the SF6 gas insulation condition, therefore the E-field near the basin insulator does not affect the operation of the optical fiber sensor. In the case of 1m light path, the detection limit of CF4 gas near 1312nm is less than 0.5ppm. The results of this study can provide an entirely new scheme for on-line monitoring of high-pressure open-light SF6 gas decomposition products, which can realize real-time on-line monitoring of the internal gas of the high voltage GIS equipment.
Overview of distributed generation planning in electric distribution networks
Authors: Wu Xiaomeng , Shi Zheng , Feng Guo , Wang Qianyu 
Published: October 2020

Abstract
As the proportion of distributed generation (DG) in the electric distribution network continues to increase, the intermittent characteristic of DG and uncertain load have many effects on electric distribution network planning and operation. Reasonable planning of DG in the electric distribution network can reduce network losses, improve power quality, reduce line transmission power, and improve system reliability. Unreasonable DG planning will cause problems such as waste of facilities, harmonic pollution and voltage fluctuations. Therefore, reasonable planning of DG has important practical significance. In this paper, the modeling of uncertain factors, the models of DG planning and optimization algorithms for solving planning models are introduced. The advantages and disadvantages of various algorithms are analyzed, and DG planning in electric distribution networks is more comprehensively reflected.
Multi-protocol bridge generation for M2M communication using MQTT
Authors: Bartholet Marcel , Überall Christian 
Published: October 2020

Abstract
MQTT (Message Queuing Telemetry Transport) is known as a quasi-standard for IoT application communication between IoT devices and OPC UA (Open Platform Communication Unified Architecture) is the de facto standard that enables M2M communication in modern industry 4.0. But there are also industrial machines that still use RESTful (Representational State Transfer) APIs as their only communication interface. Integrating machines with these three protocols into automated manufacturing processes and enact a machine to machine communication between them can be challenging. This paper demonstrates how a M2M communication supporting HTTP, MQTT and OPC UA can be implemented using MQTT as the communication protocol. Furthermore, the goal is to create a model for each bridge that can be used to create interface mappings from MQTT to HTTP or from MQTT to OPC UA. This model can then easily be used to generate MQTT clients that bridge the different protocols and enable the M2M communication between machines to share their information.
Research on Optimal Dispatch of Active Distribution Network with Distributed Energy Storage
Authors: Wu Xiaomeng , Dang Jian , Ren Fu , Wang Shangkun 
Published: October 2020

Abstract
In order to alleviate the energy crisis and improve environmental quality, the efficient use of renewable energy has become a development trend. In order to integrate various types of distributed generation (Distributed Generation, DG), to achieve large-scale renewable energy consumption, improve the utilization efficiency of distribution network resources, and improve the reliability and power quality of users, active distribution network technology has come into being, and it has attracted more and more attention from researchers. As an important part of the active distribution network, distributed energy storage has the advantages of centralized energy storage that can achieve independent control and “plug and play”, wide geographical distribution, flexibility and convenience. At the same time, because energy storage has power and the dual characteristics of load, using it to participate in the optimal dispatching of the distribution network, can effectively reduce the operating cost of the distribution network and to a certain extent realize the peak cut and valley filling of the power grid, and improve the power quality of the distribution network.
Design of a Rainfall Sensor for Mobile Offshore Platform
Authors: Cui Tiangang , Wang Ni , Zhang Yun , Sun Jia , Chu Weixian , Liu Tao 
Published: October 2020

Abstract
A rainfall sensor which adopts the ratio of water volume as the measurement parameter was designed in this study. The ratio of water volume is unaffected by the platform movement on the sea. The sensor uses a corresponding relationship model of the ratio of water volume and electric capacitance established by experiments and regression analysis. With this corresponding relationship model, the rainfall data is obtained from the measured electric capacitance. According to the subsequent verification test of a prototype, the maximum measurement error of the prototype was 0.24mm, which is able to meet the accuracy requirements of marine rainfall measurement in specifications for oceanographic survey.
The Principle and Prospect of Quantum Communication
Authors: Liu Yutong 
Published: October 2020

Abstract
With the progress of science and technology, as well as the development of the times, people begin to have higher requirements on the security and efficiency of communication, so quantum communication has attracted much more attention. Quantum communication has lots of advantages such as unconditional security, high transmission efficiency, strong anti-interference ability and good concealment performance. In this paper, the author analyzes the advantages and the present situation of quantum communication. This paper briefly introduces the model of quantum communication network, the quantum computing, data decoding based on quantum computation and the quantum search algorithm concepts, which are described in simple terms. Two quantum secure direct communication protocols are also introduced and analyzed, and the prospects of quantum communication are presented.
Lipschitz estimates for the commutator of singular integral
Authors: Wu Shuo , Niu Zhipei 
Published: October 2020

Abstract
It is widely known that commutator of Tb
of the singular integral operator T with a BMO function b is bounded on Lp
(ℝn) for 1 < p < ∞. In this paper, we consider the endpoint estimate for a kind of commutator of singular integrals. We can obtain a Lip
β -type estimate for T
b

under the assumption b ∈ Blipβ
.
Quantum entanglement criterion based on extended complex plane
Authors: Liu Guangrong 
Published: October 2020

Abstract
The state space of quantum system is a Hilbert space with complex inner product. The two states quantum system is called a qubit. Its quantum state gives different geometric representations. The density matrix of a quantum state can describe all the information of a quantum system. In particular, the representation of quantum pure states by means of extended complex plane is given. On this basis, combined with the matrix representation of the quantum states of the composite system, the criteria for quantum entanglement and separability are studied. Finally, the measurement method of quantum pure state entanglement is given.
Development and Research of EMU Honeycomb Floor Structure Mechanic Simulation Modular
Authors: Sun Linfeng , Wang Bingsong 
Published: October 2020

Abstract
Basing on PYTHON coding, honeycomb floor static and dynamic strength simulation modular had been developed. Modular automatic analysing, database parallel saving and parametric modelling technique were introduced. By means of the modular, component-level actual loading test was simulated and results of test and simulation were compared. It was presented that result deviation between test and simulation was small and accuracy of the modular could be verified. References of related honeycomb floor design and simulation could be provided.
Methods of Generating Entangled Photon Pairs
Authors: Li Yixuan 
Published: October 2020

Abstract
We examined the regular methods of creating knotted photon sets. Our company initially centered upon the nuclear resource, the very first discovered knotted photon resource that creates the photon sets automatically. Our company at that point researched the nonlinear optics procedure: parametric down-conversion. And various other resources like four-wave mixing were actually gone over. The document is actually separated and it also delivers a thorough study of the natural science as well as appropriate procedures about the complicated photon production.
What are the social outcomes of climate policies? A systematic map and review of the ex-post literature
Authors: Lamb William F , Antal Miklós , Bohnenberger Katharina , Brand-Correa Lina I , Müller-Hansen Finn , Jakob Michael , Minx Jan C , Raiser Kilian , Williams Laurence , Sovacool Benjamin K 
Published: October 2020

Abstract
It is critical to ensure climate and energy policies are just, equitable and beneficial for communities, both to sustain public support for decarbonisation and address multifaceted societal challenges. Our objective in this article is to examine the diverse social outcomes that have resulted from climate policies, in varying contexts worldwide, over the past few decades. We review 203 ex-post climate policy assessments that analyse social outcomes in the literature. We systematically and comprehensively map out this work, identifying articles on carbon, energy and transport taxes, feed-in-tariffs, subsidies, direct procurement policies, large renewable deployment projects, and other regulatory and market-based interventions. We code each article in terms of their studied social outcomes and effects, with a focus on electricity access, energy affordability, community cohesion, employment, distributional and equity issues, livelihoods and poverty, procedural justice, subjective well-being and drudgery. Our analysis finds that climate and energy policies often fall short of delivering positive social outcomes. Nonetheless, across country contexts and policy types there are manifold examples of climate policymaking that does deliver on both social and climate goals. This requires attending to distributive and procedural justice in policy design, and making use of appropriate mechanisms to ensure that policy costs and benefits are fairly shared. We emphasize the need to further advance ex-post policy assessments and learn about what policies work for a just transition.
Emergent ballistic transport of Bose–Fermi mixtures in one dimension
Authors: Wang Sheng , Yin Xiangguo , Chen Yang-Yang , Zhang Yunbo , Guan Xi-Wen 
Published: October 2020

Abstract
The degenerate Bose–Fermi (BF) mixtures in one dimension present a novel realization of two decoupled Luttinger liquids with bosonic and fermionic degrees of freedom at low temperatures. However, the transport properties of such decoupled Luttinger liquids of charges is little known. Here we report on the transport properties of one-dimensional (1D) BF mixtures with delta-function interactions. The initial state is set up as the semi-infinite halves of two 1D BF mixtures with different temperatures, joined together at the time t = 0 and the junction point x = 0. Using the Bethe ansatz solution, we first rigorously prove the existence of conserved charges for both the bosonic and fermionic degrees of freedom, preserving the Euler-type continuity equations. Applying generalized hydrodynamics, we then analytically obtain the distributions of the densities and currents of the local conserved quantities which solely depend on the ratio ξ = x/t. The left and right moving quasiparticle excitations of the two halves form multiple segmented light-cone hydrodynamics that display ballistic transport of the conserved charge densities and currents in different degrees of freedom. Such profiles reveal a novel dynamical separation of the two Luttinger liquids of fermionic and bosonic atoms in 1D. Our analytical results provide a deep understanding of the role of interaction and quantum statistical effects in quantum transport.