bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frontiers of graphene-based Hall-effect sensors
Authors: Collomb David , Li Penglei , Bending Simon 
Published: April 2021

Abstract
Hall sensors have become one of the most used magnetic sensors in recent decades, performing the vital function of providing a magnetic sense that is naturally absent in humans. Various electronic applications have evolved from circuit-integrated Hall sensors due to their low cost, simple linear magnetic field response, ability to operate in a large magnetic field range, high magnetic sensitivity and low electronic noise, in addition to many other advantages. Recent developments in the fabrication and performance of graphene Hall devices promise to open up the realm of Hall sensor applications by not only widening the horizon of current uses through performance improvements, but also driving Hall sensor electronics into entirely new areas. In this review paper we describe the evolution from the traditional selection of Hall device materials to graphene Hall devices, and explore the various applications enabled by them. This includes a summary of the selection of materials and architectures for contemporary micro-to nanoscale Hall sensors. We then turn our attention to introducing graphene and its remarkable physical properties and explore how this impacts the magnetic sensitivity and electronic noise of graphene-based Hall sensors. We summarise the current state-of-the art of research into graphene Hall probes, demonstrating their record-breaking performance. Building on this, we explore the various new application areas graphene Hall sensors are pioneering such as magnetic imaging and non-destructive testing. Finally, we look at recent encouraging results showing that graphene Hall sensors have plenty of room to improve, before then discussing future prospects for industry-level scalable fabrication.
Kinematics and kinetics of alternating electric field induced liquid mass transport on chromium thin films
Authors: Ghosh Swapnendu Narayan , Shastri Vijayendra , De Sarkar Debjit , Abraham Ebinesh , Talukder Santanu 
Published: April 2021

Abstract
Long range mass transport driven by an electric field has many applications in the fields of nanoscience and technology. Liquid-phase mass transport ranging from the micrometer to the millimeter scale and its application to nanopatterning have been demonstrated on chromium (Cr) thin films using a DC electric field. Under the influence of an electric field, the metal seems to undergo a chemical reaction, and the resulting liquid material flows out radially in all directions. In this study, we have explored the effect of an alternating (AC) electric field on this kind of liquid-phase material transport. Within the scope of this work, mass transport has been studied on Cr films 30 nm thick using an alternating square waveform with frequencies ranging from 100 Hz to 1000 Hz in steps of 50 Hz. The dependence of the material’s formation, flow distance, and flow velocity on frequency, for a constant applied root mean square (RMS) voltage, was studied in detail. An analytical model is presented to explain the experimental results. This study, in particular the frequency parameter and the intermittent nature of the applied bias, will help us get a better control over the mass flow process, will lead to better resolutions for the electrolithography process.
Nonlinear feature in the spatial uniformity of an atmospheric helium dielectric barrier discharge with the inter-dielectric gap width enlarged
Authors: Wang Qiao , Zhou Xiangyu , Dai Dong , Huang Zeen , Zhang Daoming 
Published: April 2021

Abstract
Intuitively, when the breakdown voltage is satisfied, enlarging the inter-dielectric gap width (d
g) is prone to filamentary dielectric barrier discharges (DBDs) due to the lengthened electron migration path and the intensified electron cascade. In this letter, we report that in specific conditions, a larger d
g can also promote a homogeneous DBD. The calculated results from the two-dimensional fluid model of an atmospheric helium DBD reveal that the incomplete dissipation of glows (residual positive column) induced by the enlarged d
g poses an eraser-like role, wiping out the surface charges left behind by the former discharge. Thus, the so-called memory effect cannot be well established, and the uniform DBD ensues. An experiment with similar conditions and a simplified linear stability analysis qualitatively validate the calculated results. This work also provides sufficient feasibility of regulating discharge uniformity of DBDs through manipulating the dissipative characteristic, and some methods of tailoring waveform would be useful.
Active dispersing mechanism for settled magnetorheological fluid featuring with rotary blades and inductive coils in twin-tube damper
Authors: Zhang Honghui , Zou Zhiyuan , Choi Seung-Bok , Yang Xu 
Published: April 2021

Abstract
Magnetorheological (MR) fluid-based applications have accelerated new approaches for vibration and shock control in many scenarios such as the automotive suspension, earthquake mitigation, recoil system and landing gears. However, one of the most serious problems to resolve for successful applications is to mitigate the sedimentation of MR fluids. The sedimentation of MR fluid is inevitable due to the density mismatch between the particles and base liquid. So, several efforts have been made to prevent MR fluid from the settling through additives to match between dispersed phase and dispersing medium, failed because of the difficulty for balancing the density mismatch between the carbonyl iron particles and carrier liquids such as silicone oil. In this work, an active method to resolve the settling problem is proposed and its effectiveness is validated through an experimental test. This work presents an active dispersing mechanism (ADM) with the features of twin tubes structure and full circulation generated by rotary blades driven by an electric motor. A new measurement method based on inductive sensing is provided to characterize the permeability of MR fluid continuously and instantaneously, which is directly pertinent to the dynamic volume concentration of MR fluid in the phase of settling and dispersing. Based on the simply prepared MR fluid, the sedimentation is traced for 24 h and active dispersing is operated after a relatively short time settling of 3 h. The measured results show that the proposed ADM is very effective to recover settled MR fluid after starting the rotary blades less than 1 min.
Research on Emergency Decision Making Based on Bayesian Method
Authors: Xue Bin , Tao Gang , Zhang LiJing 
Published: April 2021

Abstract
In today’s society, the sudden nature of emergencies, many inducements, and large impact determine the difficulty of emergency management and decision-making. How to minimize losses and ensure the safety of people’s lives and property after an emergency occurs is the top priority of the country’s emergency management work today. Bayesian decision-making method is a common method for program selection: use Bayesian formula to modify the prior probability, and then use the modified probability to calculate the expected value of each program’s utility. The plan with the higher expected value of utility is the best. Based on previous research results, this paper introduces the application background of original emergencies and the Bayesian decision-making method with fuzzy intervals, and uses specific cases to verify the effectiveness and rationality of the decision-making method.
RETRACTED: Research on Problems and Countermeasures of University Campus Express Operation Management under the Background of Big Data
Authors: Wang Na 
Published: April 2021

Abstract
In the context of the era of big data, college campus express has ushered in new development and opportunities. With the rapid development of Internet technology and e-commerce industry in the current era, the demand for online shopping of students, teachers and many staff in colleges and universities is also increasing. Online shopping has become a major way for students and teachers. While the e-commerce industry is developing rapidly, it also immediately drives the development of the express delivery service industry. The demand for express delivery services on college campuses is also increasing, and the express delivery service industry on college campuses is also ushering in new development and opportunities. But at the same time of rapid development, it also exposed the problems of many college campus express delivery. Under the current background, it is of practical significance to study the problems and countermeasures of campus express delivery in colleges and universities. This time, through on-site investigation, questionnaire survey, data analysis and other methods of various express delivery points on campus, we have in-depth understanding of various problems of campus express delivery, and based on the research and investigation, we have proposed solutions such as overall planning, merging sites, and innovative express delivery models. This field research survey provides new ideas for the innovation mechanism of college express delivery model, builds a high-quality express service site for college campuses, and provides some help for colleges and universities to coordinate the campus express industry.
Innovation Path of News Communication Based on Big Data
Authors: Wang Jurong 
Published: April 2021

Abstract
The rapid development of big data makes our life age transition from the “information age” to the “data age”. All walks of life use big data to change production and life. This change will inevitably affect the field of news dissemination. Combining the application of big data in all social classes, we first discuss the concepts of online media and big data, starting with the relationship between online media and big data, explaining the factors of online media using big data and applying big data to online media Variety. Among them, the factors of big data multimedia Web applications include: visual content presentation, mobile communication channels, personalized information acceptance and social information interaction. Although people have done a lot of research on new ways of news dissemination, there are still many shortcomings. This paper studies the extremely fragile topology of wireless sensorless networks facing selective attacks, and uses the principle of local optimization to propose a secure routing algorithm for multi-feature decision-making in wireless sensor networks based on topology. The model defines parameters such as node power transmission efficiency, load and packet loss rate as features, and uses relative entropy to calculate the weight of each feature to create a multi-feature decision model. The node selects the best path according to the decision model. This model takes into account the dynamic characteristics of the network and effectively compensates for the deficiencies of the existing algorithms. These algorithms only solve the problem of scale-free topology attacks from the network structure. Using the method in this article, the spread of big data news has increased by 18%.
Design of Execution System Based on Artificial Intelligence Technology
Authors: Zhang Jianxin , Shi Xiaoyu 
Published: April 2021

Abstract
With the rapid development of global artificial intelligence, the wide application of virtual augmented reality technology in various fields has increasingly shown its unique technical charm. The analysis of relevant statistical data shows that virtual augmented reality enterprise system is still a new technology research hotspot in China’s executive enterprise system architecture design. In order to effectively solve the traditional basketball referee system training and assessment process in the lack of venues, human operation and the lack of objective quantification of the game and other constraints, this paper proposes a design of executive system based on artificial intelligence technology. In this paper, 250 personnel involved in the executive system were investigated, and their recognition of artificial intelligence technology reached more than 92%. This paper compares and analyzes the financial input, human input and intelligence after the application of artificial intelligence in the design of the execution system, discusses and analyzes the results, and puts forward the application suggestions of artificial intelligence in the execution system, which provides technical support for the development of the execution system. The research in this paper is of great significance for the further integration and development of the two.
RETRACTED: Research on the Integration of ESP and Big Data in Modern College English Teaching
Authors: Bao Ye 
Published: April 2021

Abstract
In the context of big data, it analyzes ESP-based college English teaching. First, it explains the big data theory in ESP, and then discusses the resource discovery service, information storage service, resource organization service, and information retrieval service of English teaching. On the basis of the service content of ESP in college English teaching, it expounds the self-learning mode of college English based on ESP theory from the aspects of one-stop resource service, subject knowledge service, information visualization service and smart service.
Grid-connected Micro-grid Power Supply and Distribution Transformer Capacity Optimization System Design in the Electricity Sales Environment
Authors: Cheng Zhuo , Zeng Weidong , Shu Zhou , Liao Wei , Lin Yuyi 
Published: April 2021

Abstract
With the current gradual opening of our country’s electricity sales market and the successive improvement of related policies for grid-connected micro-grids, grid-connected micro-grid power supplies and their distribution transformer capacity have received attention and development. Based on the good development of my country’s electricity sales market environment, this paper designs the grid-connected microgrid power supply optimization system and its distribution and conversion capabilities to optimize the quality of electricity sales and optimize the grid configuration. In view of the fact that the operation of the microgrid system in my country’s market environment is more flexible at this stage, after a long time simulation test, a simulation analysis of the operation status of the grid-connected microgrid is carried out. In the course of the experiment, the electricity price in the distribution point process and the real-time changes of the electricity purchase price in the market will be considered comprehensively, and the processing in the micro-electricity system based on its distribution transformer capacity optimization system and the load forecast result will be considered. This article uses a power grid project actually constructed in East China as an example to analyze the results of simulation calculations. Then the NSGA-II algorithm is used to solve the optimized model for the cost and benefit composition of the grid. The optimized configuration method of the optical storage microgrid proposed in this paper can ensure the reliable power supply of users’ important loads during the off-grid operation of the microgrid, increase the installed capacity of distributed photovoltaics, and the configured energy storage system also allows enterprises to achieve low electricity prices. Purchase electric energy at any time and use it to supplement the load’s demand for electric energy during peak electricity price periods, thereby increasing revenue. The experimental research results show that the design of the grid-connected microgrid power supply capacity optimization system under the electricity sales environment studied in this paper can effectively reduce the additional investment required by external loads and the capacity of optical storage and distribution transformers. Only then can the economic marketing profit of the microgrid be improved to a certain extent.
Application of Computer Three-dimensional Modeling in Engineering Engineering
Authors: Jin Kaizhao 
Published: April 2021

Abstract
With the development of science and technology and the development of our society, new technologies are continuously applied in our country’s engineering. Due to the complex geological phenomena such as faults, pinching, and outcrops in geological bodies, in order to express these phenomena when modeling 3D strata Regardless of whether it is a surface model, a volume model or a mixed model, there are problems of space division or surface intersecting. Due to the complexity of geological body topology, data errors and computer accuracy problems, these models often fail in the actual modeling process. Using level set theory can effectively solve this problem. Level sets use implicit functions to express surfaces, which can realize the expression of complex geological bodies and topological operations such as merge, intersection, and difference. In 3D geological modeling, after generating various geological interfaces by interpolation, these geological interfaces are expressed in level sets, and various complex topological operations are completed by level theory, and a 3D geological model expressed in level sets is established. On this basis, by inserting various engineering activity interfaces expressed by level set, and using level set theory to perform topological operations, geological models after various engineering activities can be constructed. Reuse algorithms to extract various geological interfaces or engineering activity interfaces, and construct stratigraphic models that can be used for real-time visualization or engineering evaluation (such as finite element calculation) or geological models after engineering activities. By establishing a three-dimensional geological model of the area where the construction project is located, architectural designers and construction personnel can analyze and study complex geological conditions, and provide technical support for engineering. By studying the three-dimensional geological model, this paper analyzes the engineering geological conditions and potential risks of the construction process in the study area, and proposes risk control measures, which can provide scientific decision-making basis for building design, construction, and risk prevention and control, and has a high promotion value. Experimental research results show that the application of computer three-dimensional modeling in engineering engineering can effectively reduce the cost of the project, ensure the quality and schedule, and greatly improve the construction efficiency of the project.
Analysis of Visual Communication Packaging Design Based on Interactive Experience
Authors: Li Ying 
Published: April 2021

Abstract
With the continuous advancement of information technology, people’s interaction and communication methods have also shown diversity. As a carrier of product and social communication, visual communication packaging needs to interact with people to reflect its due value. Therefore, with the change of the times, packaging design has also undergone great changes, and people’s perception of product visual communication packaging design has been continuously changed. This perception is based on the interactive concept of product packaging design. This article provides new ideas for how to use new technologies and new methods to design interactive product visual communication packaging design.
Research on Infiltration Teaching of Higher Vocational Mathematics Culture Based on Big Data
Authors: Liu Xiwen 
Published: April 2021

Abstract
In response to the current information needs of higher vocational mathematics and cultural teaching, Hadoop framework and collaborative recommendation algorithms are used to apply these two technologies to the construction of a shared platform for higher vocational mathematics and cultural infiltration teaching. Then through experiment and comparison, let the same teacher conduct mathematics and cultural infiltration teaching in two different classes. The results show that by investigating higher vocational students’ interest in mathematics and their understanding of mathematics, the number of people interested in vocational mathematics classes increased by 14.6%, and the number of people interested in control classes only increased by 10%. At the same time, in the assessment of mathematics culture penetration knowledge points, the number of outstanding people in the experimental group was significantly more than that in the control group.
Value Orientation and Development of Ideological and Political Education Based on Artificial Intelligence
Authors: Shang Huixia , Hu Caizhen 
Published: April 2021

Abstract
Artificial intelligence(AI) technology has brought a brand-new technological revolution. Under the background of vigorously promoting educational modernization in our country, it is a trend in the future to introduce AI technology into ideological and political education(IAPE). At the same time, it strengthens the effect of IAPE and promotes the reform of IAPE. However, due to the fact that the research in this field is still in the trial stage, there are still many problems. Therefore, this paper puts forward the research on the value orientation and development of IAPE based on AI. In this paper, the IAPE methods of colleges and universities towards the era of AI in the future are deeply studied. According to the actual needs of IAPE, combined with the characteristics of AI technology, this paper divides the future development of IAPE mode into seven categories, and analyzes the main characteristics. For the value of AI in IAPE, this paper believes that AI technology can better promote the reform of IAPE mode, especially in the teaching method, which has obvious intelligent improvement. In order to strengthen the effect of AI technology on IAPE in practical application, this paper thinks that we should strengthen the research of AI technology, especially the research of algorithm, which needs to be more intelligent and humanized. For the reform of IAPE, we should take students as the main body, enrich teaching methods, customize personalized teaching content, and cultivate students’ autonomous learning ability.
The Application of Intelligent Speech Recognition Technology in the Tone Correction of College Piano Teaching
Authors: Wang Jing 
Published: April 2021

Abstract
In recent years, with the continuous deepening of college teaching reform and the rapid development of artificial intelligence, the teaching methods used in college classrooms have been greatly different from traditional ones. The original teaching programs and teaching methods need to be changed with the development of the times. The main purpose of this article is to improve the correction rate of intelligent voice recognition technology for college piano timbre without violating the safety of artificial intelligence. This article mainly conducts experiments by consulting relevant domestic and foreign literature, using observation and comparison methods, and using some neural network algorithms (BP neural network algorithm and convolutional neural network algorithm) to obtain experimental results, and finally complete our experimental goal-research intelligence The application of speech recognition technology in the tone correction of piano teaching in colleges. The test results show that the use of multiple algorithms can improve the application of intelligent speech recognition technology in the tone correction of piano teaching in colleges and universities, mainly to improve the correction rate and enhance the ability of guiding teaching.