bluuebunny/crossref_metadata_2025 huggingface dataset:
Access Control: Ciphertext Policy - Attribute Based Encryption in Cloud Computing
Authors: Muhammad Norhidayah , Mohd Zain Jasni
Published: April 2021

Access control and confidentiality is important features for cloud storage. The cloud service allows data owner to outsource their data to the cloud and through which provide the data access to the users. Although cloud computing brings many benefits, it may suffer from conventional distributed systems’ security attacks. Because the cloud server and the data owner are not in the same trust domain, the semi-trusted cloud server cannot be relied to enforce the access policy. However, storing the data in the untrusted cloud server leads the privacy and access control issues in the cloud. The traditional encryption schemes such as symmetric and asymmetric schemes are not suitable to provide the access control due to lack of flexibility and fine-grained access control. One of the prominent cryptographic technique to provide privacy and fine-grained access control in cloud computing is Attribute Based Encryption. In this paper, access control ABAC framework will be introduced for cloud storage systems that achieves finegrained access control based on an adapted Ciphertext-Policy Attribute-based Encryption (CP-ABE) approach.
Determination System for House Improvement Recipients In Serdang Bedagai By Using Clustering K-Means Method And Višekriterijumsko Kompromisno Rangiranje (Vikor)
Authors: Andayani U , Efendi S , Siregar N N U , Syahputra M F
Published: April 2021

To improve the welfare of the community, the Government created a program called Bantuan Stimulan Perumahan Swadaya (BSPS) or better known as house improvement program. One of the implementations is in Kabupaten Serdang Bedagai. Therefore, we need a system capable of grouping the house situation of the poor then ranked to determine the priority in obtaining Program Bedah Rumah. For grouping were done using k-means clustering method consists of several criteria: welfare status, number of individuals in the family, type of floor, type of wall material, type of roof, use of toilet facility, type of toilet, and final disposal place. Then in ranking is used one of the multi-attribute decisions making method Višekriterijumsko Kompromisno Rangiranje (VIKOR). The criteria were used in ranking are the sources of drinking water, the primary lighting source and the cooking fuel. From the test results of 1,180 poor households (RTM) data produced 3 clusters of 538 RTM in cluster 1, then 593 RTM on cluster 2 and 49 RTM on cluster 3. The house improvement program assistance on the first year will be given to 185 RTM, then second year for 162 RTM, third year for 300 RTM, fourth year for 250 RTM, fifth year for 150 RTM and the last year for 133 RTM.
Structural Optimization of Frame of the Multi-Rotor Unmanned Aerial Vehicle through Computational Structural Analysis
Authors: Aswin Kumar V , Sivaguru M , Rohini Janaki B , Sumanth Eswar K S , Kiran P , Vijayanandh R
Published: April 2021

Because of the flexible working nature, the Multi-Rotor Unmanned Aerial Vehicle (MR-UAV) has been implemented in all kinds of real-time complicated problems. Due to this huge implementation, flawless UAVs have been required and used everywhere. Even though flawless UAVs have emerged, some of the domains in UAVs need to be analysed thoroughly to evolve UAVs without life affecting factors. This work deals with such kind of domain, which is a multi-objective investigation on MR-UAV’s airframe. In which, five different prime MR-UAV’s airframes are constructed, modelled, and computationally solved for three major composite materials and one conventional material. The important selection factors involved in this multi-objective optimization are low-stress induction, less deformation, and high lifetime. The short-listed five platforms of this structural optimization are the “X” frame, “I” frame, “K” frame, “Z” frame, and “+” frame. All these frames are computationally investigated with incorporate the following materials and their relevant mechanical properties: GFRP (Glass Fiber Reinforced Polymer), CFRP (Carbon Fiber Reinforced Polymer), KFRP (Kevlar Fiber Reinforced Polymer), and Aluminium Alloy. Apart from these fundamentals, the involvement of tools and their justifications are played a predominant role in this work. The major tools contributed are CATIA for modelling, ANSYS Workbench for Structural computations. The grid convergence test has been organized in a good manner to validate involved computational procedures. Finally, the suitable MR-UAV”s airframe and it opts material are obtained based on the multi-objective selection factors.
Design of economic PODS to safeguard against contagious diseases using computational fluid dynamics (CFD)
Authors: Prakash Ankit , Sati Nishant , Singh Piyush Pratap , Degala Sajal K. B. , Rawat Anubhav , Pandey Ramesh , Tiwari R.P.
Published: April 2021

The outbreak of SARS-CoV-2, namely Covid-19, one of the greatest pandemics in human history posed some new challenges to the human beings for its prevention and control as it is an airborne respiratory disease and highly contagious. The most common practices suggested by WHO and government of India are; to wear a face mask, keep social distancing etc. It becomes much more important when the whole world is opening its economy. In such situations, there are a number of places where maintaining social distances or wearing a face mask is quite a tough job for example Laboratories and eating messes and canteens of schools and colleges. Thus, the present studies focus on the designing of economic PODS which may be helpful in controlling the spread of airborne disease in mass gathering places like in educational institutions in particular laboratories and eating messes. The present studies first emphasize on the flow field analysis of human cough by assuming it as a turbulent jet using CFD. Then, based on the physical dimensions covered by the coughing jets a further detailed study is conducted on 23 number of PODS of various shapes and sizes using CFD to select a suitable POD so that the effect of coughing in a laboratory/mess can be minimized to contain the infections. A POD with 1 m length and 30 cm height having an arc inside (POD 20) is found to be the best POD to contain the airborne infections.
Modelling of torsional wave propagation in a two-layer anisotropic inhomogeneous media
Authors: Panigrahi Tapas Ranjan , Vishwakarma Sumit Kumar , Majhi Dinesh Kumar
Published: April 2021

The current article reflects the behavior of torsional waves in a two-layer inho-mogeneous model, where rigidities and density vary along with the depth parameter z. The variation for the upper layer and lower half-space has been taken as the product of two exponential functions and the product of one linear and exponential function, respectively. A mathematical model is developed by following the concept of elastic waves. The separation of the variable method has been imposed on both layers in order to calculate the displacement equations. Intrinsic boundary conditions are imposed to derive the frequency equation in closed form. It has been observed a substantial effect of rigidity and density on the phase velocity of the torsional wave. Graphical presentations have been performed in order to support the different findings of the dispersion equation.
Approximation of Fixed Points of (λ, ρ)-Quasi Firmly Nonexpansive Mappings
Authors: Reena  , Panwar Anju
Published: April 2021

The purpose of this paper is to introduce (λ, ρ)-quasi firmly nonexpansive mappings in context of modular function spaces and to prove some basic properties and approximation results for fixed point for these mappings. Further we discuss the concept of summably almost T-stability and also some examples are provided to support our results.
The Optoelectronic Property Analysis of P doped SrGeN2: A First Principle Calculation for Solar Cell Compound
Authors: Gaur A , Khan K , Soni A , Dashora A. , Sahariya J
Published: April 2021

The first principle investigation of P doped SrGeN2 - a wideband semiconductor is undertaken to prove the beneficial usage of the compound in a particular optoelectronic application field. Wideband semiconductor is the semiconductor compound that contains a larger energy gap difference in comparison to the traditional semiconductors. But to utilize the compound in the form of a particular application like solar cell, bandgap engineering for the compound is followed to reduce the bandgap as per required value range. For this purpose, doping feature is introduced in the bandgap engineering procedure and can be done at a particular site to gain the desired energy gap. Thus the investigation of the properties to learn about the optical, electronic and structural features of the P doped SrGeN2 compound is done using the Tran Blaha modified Becke Johnson (TB-mBJ) exchange correlation. The exchange correlation is rooted in the framework of DFT based on the first principle-linear augmented plane wave methodology. This paper deals with varied property analysis schemes like structural, optical and electronic behaviour deployed in DFT framework stating the value of absorption curve and dielectric tensor which is analysed for the optical property study with integrated absorption curve value being 33.681 and static dielectric tensor value ε (ω) being 4.28 in case of P doped SrGeN2 gained through mBJ potential.
Influence of Te doping in titanium dichalcogenides: LCAO calculations and Compton spectroscopy
Authors: Mali D , Kumar K , Jangid P K , Joshi P K , Arora G , Ahuja B L
Published: April 2021

Role of Te doping in titanium disulfide using linear combination of atomic orbitals method and Compton spectroscopy is reported. The theoretical Compton profiles (CPs) of TiSTe derived using various exchange and correlation potentials like Perdew-Burke-Ernzerhof, Perdew-Wang generalized gradient approximation and von Barth-Hedin (VBH) are compared with corresponding experimental CP to check the applicability of considered potentials. From the total and partial density of states, we observe that doping of Te at S site vanishes the narrow band gap of TiS2 leading to metallic character of TiSTe. A good agreement between experimental and VBH potential based CP of TiSTe shows better performance of VBH approximation in this mixed metal-like dichalcogenide.
The Application and Optimization of Phase Method in Laser Distance Measurement
Authors: Liu Yue
Published: April 2021

At present, photoelectric detection technology has become a hot spot in the field of automation technology, which is very active in the process of industrial automatic assembly detection. Laser ranging technology is a kind of technology that USES photoelectric technology to measure the distance without contact. In order to improve the flexibility of assembly and the adaptability of products, this paper adopts the non-contact detection method of laser ranging for the distance and length detection of the interior decoration covering parts of the emu passenger room. This method can avoid the disadvantages of manual detection and realize the purpose of high-speed, high-precision and non-contact detection.
Development of the Electronic Information System for University Biomedical Engineering Scientific Research Management Based on Computer Internet
Authors: Jing Panzhao , Dai Yunteng , Lin Xiaogang , Liu Yuexiang , Wang Mengchao
Published: April 2021

The quality of scientific research management (SRM) in universities plays a vital role in the development of universities, and it is still one of the most important factors reflecting university reform and development and informatization construction. As the number of university scientific research (SR) projects has increased year by year and funding has increased, the emergence of diversification has put forward new challenges and requirements for SRM. Therefore, there is an urgent need for university SRM departments. Have it already. It is more systematic, standardized and efficient in managing SR projects. Various evaluation methods of electronic information systems, such as student evaluation, question evaluation, and teacher evaluation, provide a comprehensive view of the university’s medical and bioengineering SRM electronic information system. As for the experimental results, more than 90% of the students in the experimental class accepted interviews and surveys, and more than 90% of the students agreed to research and develop electronic information systems for the management of biomedical engineering SR in the university and expressed their satisfaction. It shows that it is. Based on the computer Internet.
Application of Liar Remote Sensing Forest Leaf Area Index Extraction Method Based on Big Data Network
Authors: Wang Xiaoyan , Xu Gaokui
Published: April 2021

In the past, liar was mainly used to study forest ecosystem flight time. So far, the ecological application of SLR is mainly to use one-dimensional index to characterize the canopy height. A new 3D analysis method of liar waveform is proposed. Many models developed before are scale dependent and need to be fitted and then applied with the same scale or pixel size. A method of scale invariant estimation of forest biomass based on liar data is proposed. Two equivalent biomass models were proposed: linear biomass model and linear biomass model. The development of sensors and algorithms is evaluated. The specific areas discussed include the selection of analysis units (grid units, segments or individual trees), canopy height model and point based analysis, the role of multiple benefits and benefit intensity, and the comparison of common algorithms. The results showed that the highest biomass of bark was 0.2645, the lowest biomass of above ground was 0.0267, and the biomass of branch was 0.021 higher than that of trunk.
Design and Study of Mechanical Monitoring Terminal Monitoring System Basedon Reel Neural Network
Authors: Gao Yuehui
Published: April 2021

With the development of the times, the society is slowly progressing, the era of information technology has come. With the research of computer technology and the development of artificial intelligence technology, various algorithms have been put forward and popularized. Among them are widely used expert algorithms, genetic algorithms, and a special co product neural network algorithm. In this paper, the mechanical monitoring terminal monitoring system is designed by using the reel neural network. After consulting a large number of literatures at home and abroad and watching the relevant models and starting to model them simply, this paper uses the existing resources of the laboratory to apply distributed network control through the use of multiple computers to assemble the central control system, so as to carry out experimental simulation, and get the analysis results. The final experimental results show that the co product neural network algorithm has better application in the monitoring system than other algorithms, and the data capture speed is faster and the analysis is more accurate.
Scientific Research on Agricultural Low-Altitude Remote Sensing Platform Based On Dual CPU Structure
Authors: Li Dan
Published: April 2021

With the support of the Jilin Province Education Department “13th Five-Year” Science and Technology Research Project Fund (JJKH20190974KJ), this paper, relying on the Jilin Province Digital Agriculture Key Discipline, carries out the research and practice of micro low-altitude remote sensing platform and its application in agricultural situation detection. This paper describes a kind of agricultural low-altitude remote sensing platform, which adopts dual CPU structure about central control layer and FMU flight control layer. This paper describes in detail the development status of low-altitude remote sensing, key technologies, experimental implementation schemes, core system design and so on. After field test, the operation effect is good.
Automatic Identification of Low Voltage Distribution Network Topology Based on HPLC
Authors: Dong Yongle , Li Xuan , Zhang Lifang , Yang Junzhe
Published: April 2021

With the rapid development of China’s national economy and the deepening of reform and opening up, people’s demand for electricity is growing. This paper studies the automation of low-voltage distribution network topology based on HPLC power line carrier technology. It is a key technology to effectively extend the communication distance of power line communication network in smart grid. For the power line communication network, we establish the network model of power line carrier layered forwarding tree. Based on the study of the topology and various operation modes of DC distribution network, a new hierarchical coordinated control method is proposed. By coordinating the working mode of each sub module, the power balance and voltage stability of distribution network are maintained under different conditions.
Packaging’s Visual Three-Dimensional Presentation and Experience with Virtual Simulation
Authors: Wen Zhurong
Published: April 2021

Objective To create an immersive experience experimental teaching environment through the technical means of simulation experiment, focusing on solving the problem of the conversion from flat to three-dimensional, from static to dynamic visual effects in the teaching of publishing and packaging courses, and to achieve rapid verification of three-dimensional presentation and display of packaging design. Methods First, aiming at the objective problems in publishing and packaging teaching practice, use 3DMax three-dimensional modeling software to classify the common structural forms in packaging and [make] three-dimensional models, and then use Unity3D simulation technology for all three-dimensional models to set parameters and build packaging Design a visual three-dimensional presentation and experience system. Results Assist students to use virtual simulation technology to realize the three-dimensional presentation of packaging design after the completion of the graphic creativity, and at the same time to quickly and low-cost test the feasibility of the packaging design plan in the process of display and experience. Conclusion This teaching method can allow students to quickly form a three-dimensional and dynamic spatial thinking mode, improve the expression efficiency of students’ creative thinking, and allow students to discover, analyze and solve problems intuitively.
Application and Realistic Dilemma of VR Technology in Film and Television Production
Authors: Wang Minjing
Published: April 2021

VR was formally put into research in 1989. Through continuous development, it has gradually attracted attention from various fields. By now, a new viewing mode has emerged out of it. To follow up the new viewing trend, city promos also begin to adopt this technology. Under this background, this article attempts to explain the current combination of VR and film and television production, analyzes its advantages and disadvantages, and explores the practical difficulties and development prospects of this mode.
Study on Hydromechanics with Particles and Bubbles Based on Finite Element Modeling
Authors: Liu Jie , Liu Hongying , Li Lei
Published: April 2021

The hydromechanics with foams and particles has important scientific and commercial significance. The presence of solid particles will greatly change the behavior of the multiphase/multicomponent flow in the bubble, which is a scientific issue unexplored. So this article simulates the foam layer and platform edge and the hydrodynamic laws of particles along the interface and inside the film were studied. As a result, the explicit analytical expressions for the drag coefficient and torque coefficient of spherical particles attached to a flat stress-free interface between two immiscible fluids are constructed by using the finite element method based on computational fluid dynamics (CFD) under the condition of low Reynolds number. The hydrodynamic data of the translational sphere and the rotating sphere under different motion states are analyzed respectively, and the flow mechanics law of the foam bridging region is analyzed.
Design and Implementation of Solfeggio and Ear Training Learning Assistant System Based on Computer Cat Technology
Authors: Huang Qian
Published: April 2021

With the rapid development of Internet, many new technologies emerge in endlessly. Digital technology is one of them. Now digital technology is very popular in many fields. Now many music scholars are trying to apply this technology to music education. This kind of auxiliary teaching method is more and more popular, and is a kind of development trend at present. Solfeggio is one of the important courses in higher music teaching, and it is also a very basic course in music teaching. Digitizing the teaching of Solfeggio and ear training course is also a topic of research for many music majors in Colleges and universities. This paper discusses and analyzes the effect of CAT technology on Solfeggio and ear training teaching. This paper analyzes and compares the effect of CAT technology in Solfeggio and ear training learning aid system and the difference between the original traditional teaching through Two Conservatories of music. The results show that in the process of Solfeggio and ear training, more than 60% of the students are satisfied with the cat technology learning aid system, while they are satisfied with the traditional learning aid system The proportion of students should not exceed 50%.
Design of Hybrid Recommendation Algorithm Based on User Dynamic Behavior and Static Attributes
Authors: Dai Xiaoxiao
Published: April 2021

Collaborative filtering recommendation algorithm is one of the most successful recommendation algorithms, but the traditional collaborative filtering recommendation algorithm is proved to have a series of problems in data sparsity, cold boot and scalability. Based on the problems mentioned above, this paper analyses user dynamic behavior and a hybrid recommendation algorithm based on user dynamic behavior and static attributes (UDBSA) was proposed in this paper. By determining the optimal value of BP critical point for the number of ratings, the recommendation strategy was dynamically selected according to the number of ratings. This method can comprehensively alleviate the influence of problems of new users and concept drift related problem on recommendation results.
Transformation of Higher Education Management Mode and Coping Strategies Based on Big Data
Authors: Wu Ziwei
Published: April 2021

Using data technology to optimize and reform teaching field is a part of teaching. Some schools have optimized the education mode, but there are many problems due to the lack of experience in this field. Therefore, this paper puts forward the transformation management mode and coping strategies. The main significance of university education management and the main problems existing, investigated and analyzed, and specific and improvement measures can be put forward according to the current deficiencies. The accuracy of data analysis is improved by optimizing factor analysis algorithm and simplifying steps. Puts forward the coping strategies of College Students’ management in the era of big data, uses big data platform, formulates personalized student training plan, and attaches importance to the application of flexible management and other strategies. According to the survey results, since the adoption management mode, have greatly improved in the way of event handling and management information communication.
Application Research of Computer Aided Architectural Design Based on BIM Technology
Authors: Tao Yan
Published: April 2021

This paper summarizes the development and application experience of computer aided design software for control system. Discusses how to arrange interaction with users with extensive experience. This includes question and answer dialog boxes using macro tools and different types of menu driven systems. A set of software packages for modeling, identification, analysis, simulation and design are described. The problems related to architecture, portability, and maintainability and extensible are discussed. Experience in developing and using software packages in teaching and industrial environments.
Ways to Promote Students’ Deep Learning in English Teaching Based on Computer Technology
Authors: Tao Xue
Published: April 2021

The current economic and social development is inseparable from computers. Computer technology has not only brought tremendous changes to all aspects of society, but also brought opportunities to the reform of our country’s education industry. Adding computer technology to the process of English teaching can effectively promote students’ deep learning. At the same time, this teaching model has already appeared in many schools in our country. This article explores the convenience brought about by the way that computer technology promotes students’ deep learning of English by using both teachers and students. This article first explains the application and research of computer technology in traditional English teaching, and analyzes the case of improving students’ classroom teaching and extracurricular collaboration by introducing computer technology and multimedia technology under computer technology. This research conducted a survey of 120 sophomore English majors and 38 English teachers in a language university. The survey method used questionnaire surveys, interview surveys and practice classroom methods to explore the reform of deep learning in English teaching. Under the path, students’ understanding of computer technology promotes English teaching. This article also explores the impact of computer technology on English teachers through a survey of English teachers, including the changes in their traditional teaching methods and teaching concepts, the challenges of practical teaching methods, and the repositioning of teacher-student relationships. The experimental results show that, the deep learning path that computer technology promotes English teaching has changed the traditional English teaching method and rebuilt a new English teaching concept. Its classroom is more practical and interactive, and it is also more conducive to the cultivation of students’ autonomous learning ability.
Research on Liquid Concentration Measuring Instrument
Authors: Huang Jian
Published: April 2021

In order to measure the concentration of different liquids, a new type of sensor is used to detect the small capacitance change. When a thin copper sheet is inserted into the solution, when the liquid concentration changes, the capacitance of the copper plate to ground will change. Fdc2214 is used to sense the change and convert it into digital quantity, which can be measured by various microprocessors through IIC output.
Design of Computer Network Security Defense System Based on Big Data
Authors: Huang Wei
Published: April 2021

The era of big data promotes the development of computer network, which plays a very important role. Big data can improve people’s life and work enthusiasm with high quality, and further sublimate the standard of the masses. Because of the openness of computer network, it always leads to unnecessary security problems. Therefore, in order to apply the computer network on a large scale and avoid the information leakage caused by the network, this paper proposes the research on the design of computer network security defense system based on the background of big data. First of all, the importance of computer network security is discussed; secondly, the types of network security attacks are discussed, and the computer network security defense system is built by using multi angle and active security defense strategy to maintain the safe operation of the network; then, the risk algorithm is analyzed, and the risk of the whole computer network can be estimated by setting the weight according to the importance of the obtained resources So as to formulate reasonable safety measures. Finally, through the system test, the system has good analysis ability and defense ability, and has outstanding effect in computer network defense.
The Training Mode of Design Talents in Colleges and Universities from the Perspective of Artificial Intelligence
Authors: Shang Yuzhen
Published: April 2021

“Internet +” has been deeply rooted in the hearts of the people, and the development of online courses such as micro class and MOOC has become increasingly mature. However, with the rapid development of the times, the research on online teaching alone can not meet the needs of the era of artificial intelligence. From the single and interactive form of VR and visual media to the interactive form of visual art, it also presents the trend of interactive development from the traditional and visual media to the interactive form of visual art. The various possibilities brought by artificial intelligence in the field of design pose a problem to the educators engaged in design education, that is, how to better cultivate students’ innovative thinking and enhance their innovative ability, instead of focusing on technology. This paper analyzes the current situation of the application of artificial intelligence in the field of culture and education, and expounds how to combine the traditional curriculum and teaching methods with artificial intelligence in the training of design talents in Colleges and universities.
Vehicle Trajectory Prediction Method based on Deep Learning under the background of Internet of Vehicles
Authors: Wang Rongxia
Published: April 2021

With the expansion of the Internet, big data and other industries, mobile devices are almost used in all aspects of life. The location-based service platform provides convenient services for users, but also obtains a large number of user history tracks. Through the trajectory data mining, we can extract valuable user behavior information, help user’s better plan routes, and can be applied in urban traffic management and commercial advertising layout and other scenarios. In this paper, a trajectory prediction algorithm based on deep learning is proposed to solve the problem of vehicle trajectory prediction. In this paper, the vehicle passing records are preprocessed and the vehicle trajectory is generated. The trajectory is transformed into the discrete position sequence of the vehicle as the input of the algorithm. Then the space-time multi-dimensional features of vehicle trajectory are extracted. Finally, a trajectory prediction algorithm based on deep learning is constructed. The batch size is 256 and the average track length of training set is 46.45. The convolution neural network and deep bidirectional long-term memory network are fused to learn the local and global information of vehicle trajectory. The research shows that compared with traditional machine learning, deep learning has achieved better results in various fields of computer vision because of its powerful representation ability. The visual perception algorithm based on deep learning can accurately analyze the regularity of vehicle movement and make accurate prediction of vehicle moving trajectory in the future.
Improved Algorithm for Nonlinear Programming with Inequality Constraints Based on Big Data Framework
Authors: Zhou Yuying
Published: April 2021

With the development of network technology and electronic information technology, the nonlinear programming problem (NPP) with inequality constraints in the BD framework has become one of the research hotspots and one of the trends that need improvement. Due to the introduction of BD technology, there is still a lack of research on the situation where the objective function is a NPP. The purpose of this article is to use the analysis and computing power of BD technology to simulate and calulate nonlinear programming (NP) with inequality constraints and improve it. In this paper, with the help of stability conditions, matrix splitting and iteration theory, the alternate direction method is used to solve the NPP with inequality constraints, and the principle of compressed mapping is used to finally prove the convergence of the alternate direction method. Matrix splitting techniques and Gauss-Seidel iterative ideas construct an iterative algorithm for solving linear systems. The iterative format of the alternating direction method for solving NPPs with inequality constraints and the equivalent matrix format are given to prepare for further proof of the convergence of the algorithm. Experimental research shows that the NPP model with inequality constraints designed by the dynamic BP technology error correction GPC algorithm used in this article has faster response time and smaller overshoot, and the control effect is better than 20% of the traditional GPC algorithm.
EMC Management of Smoke Detection System for High-speed Train based on Functional Safety
Authors: Sun Ping , Wang Wenjun , Zhao Ta
Published: April 2021

The EMC immunity requirements for smoke detection systems on high-speed trains based on functional safety are presented, and the process of EMC management of safety-related systems is introduced using smoke detection systems as an example.
Application of New Generation Artificial Intelligence in Traffic Informatization
Authors: Hou Jinling
Published: April 2021

With the rapid development of economy, continuous improvement of urbanization level, increasing number of private cars and increasingly prominent urban traffic problems, intelligent transportation has become a research hotspot at home and abroad. As a new generation of high and new technology, artificial intelligence technology plays a decisive role in the development of China’s transportation. On the basis of studying the level of China’s traffic informatization, this paper uses the YOLO algorithm model and selects the CCTSDB data set to study the traffic sign recognition in traffic informatization, and verifies the accuracy of the algorithm through experimental results, and changes the traditional driving mode, improve the level of informatization, and reduce the occurrence of traffic accidents.
Design of Permanent Magnet Synchronous Motor for Electric Vehicle
Authors: An Zhiwen
Published: April 2021

In order to solve the problem of energy crisis and environmental pollution, the state vigorously develops electric vehicles. Permanent magnet motor is widely used in the selection of electric vehicle motor because of its high efficiency, high torque and stable operation at high speed. To a large extent, the power and economy of electric vehicles are affected by the driving motor, so it is very important to design a permanent magnet synchronous motor which can improve the economy and power of electric vehicles. This paper first introduces the structure and working principle of permanent magnet synchronous motor, and then analyzes which parameters in the structure will affect its output characteristics. Combined with the requirements of electric vehicle driving conditions, the stator winding, pole pairs, air gap length and other parameters are calculated, and then the finite element analysis software Ansoft / Maxwell 2D is used The motor model is established, and the simulation experiments are carried out under no-load, rated load, overload and flux weakening conditions to verify the possibility of meeting the basic requirements of the electric vehicle for the drive motor; the inductance parameters, torque power angle characteristics and motor efficiency distribution of the motor are simulated and analyzed.
Customer Management Decision Model and Algorithm Based on Enterprise Sales Forecast
Authors: Zhang Ge
Published: April 2021

With the advancement of scientific concepts and technology and the need for the steady development of the corporate market, customer assets, as an important intangible asset of a company, have received widespread attention and become one of the key elements for measuring the market value of a company. Therefore, customer analysis has been paid more and more attention by enterprises. The purpose of this article is to study customer management decision-making models and algorithms based on enterprise sales forecasts. This article summarizes customer behavior analysis and enterprise sales forecasting, analyzes and compares the main mathematical models and algorithms used in the two on the market, and determines a relatively suitable model and algorithm on this basis. This paper improves the selected models and algorithms. This paper uses genetic algorithm theory to re-optimize the weights of the state transition probability matrix of the established prediction model; then combine the actual business requirements and related modeling software to make the proposed new model and algorithm are tested. This article improves the traditional customer behavior analysis and analyzes it together with the company’s sales forecast. Through the dialectical analysis of the two, analyze the dynamic relationship between the customer behavior status and the expected performance of the company, and adjust the customer behavior status by clarifying the relationship, so that the decision-making based on customer behavior can be more accurate to meet the best interests of the company. Experimental research shows that the accuracy of the prediction model proposed in this paper is 85.6%. The result proves that this forecasting system can reduce the cost of the enterprise to a certain extent, extend the life cycle of the enterprise, and stabilize the normal operation and rapid development of IT enterprises.
The Innovation of Tourism Management Mode Based on Computer
Authors: Ma Shuoyan
Published: April 2021

With the continuous expansion of the scale of tourism business, various project charges, customer conditions and travel routes in the process of tourism business operation are becoming increasingly complex. Business operators only rely on manual processing of a large number of data, which is easy to cause many problems such as missing information, high error rate of information, waste and idle of a large number of resources. The purpose of this paper is to study the innovation of tourism management model based on computer. The MVC framework studied in this paper can be built into a reusable system framework. Web application framework is required to be able to insert the basic components and component packages of web applications on J2EE architecture, so that the framework can be applied to other similar systems without any changes, and an efficient application system and reusable system framework can be constructed. This paper analyzes the tourism complaint management mode and tourism project management mode. The experimental results show that the processing process of tourism complaints management has been completed, accounting for 30%, indicating that for the tourism complaints that have been handled, the platform based on B / s network tourism management mode can get timely feedback data.
A Study on Intelligent Tourism App Based on Artificial Intelligence
Authors: Xue Jia
Published: April 2021

With the rapid development of science and technology and the rapid development of network applications, the Internet era has been promoted, and the popularity of smart phones has made great changes in people’s way of life. More and more rely on mobile phone applications to deal with the scale of life. At the same time, with the improvement of material living standard, people pay more attention to the pursuit of spiritual life, travel will become the perfect choice to relax body and mind, and smart phone tourism application (tourism app) is the basic way to realize intelligent tourism. The National Tourism Administration of the people’s Republic of China issued a holiday tourism information circular saying that during the 2012 Mid-Autumn Festival National Day Golden week, 119 scenic spots in the country received 34.2456 million tourists, an increase of 40.7 percent over the same period last year, and the number of tourism complaints increased significantly. Tourist satisfaction is not optimistic. Intelligent tourism is the inevitable trend of the development of tourism in the world, and strategic demand for the transformation and upgrading of tourism in China.
Teaching Management Work Model of Higher Vocational Colleges Based on Computer Technology
Authors: Ou Chuxiang
Published: April 2021

With the rapid development of computer technology in modern society, it has had a large and small impact on all aspects of our lives. Among them, the one million enrollment policy has a great impact on the future development path of higher vocational colleges, and the teaching management mode of higher vocational colleges based on the one million enrollment policy has also undergone great changes with this policy. In this situation, the teaching management mode of higher vocational colleges has major challenges and rare opportunities. In meeting these challenges and opportunities, higher vocational colleges should use computer technology management methods and innovations derived from computer technology. The method is applied well. This article is based on some problems such as poor student base, insufficient teaching staff and old management methods faced by higher vocational colleges after the expansion of one million enrollment, and through the calculus algorithm in computer technology, it is based on computer technology. A series of research and discussion were conducted on the teaching management mode of the school after the enrollment expansion of one million. The enrollment expansion by one million in higher vocational colleges is of great significance for promoting the reform of personnel training policies, deepening the reform of the teaching management mode of higher vocational colleges, expanding the growth and development space of students, and alleviating the employment pressure of students. In the context of the expansion of enrollment based on one million in higher vocational colleges, such a large-scale increase poses new challenges to the faculty of higher vocational colleges, and the diversity of needs also poses new challenges to the teaching management mode of work, so many people The resulting complexity also poses new challenges to teaching management. To deal with these challenges, higher vocational colleges should deepen teaching reform, explore new ways to combine education and training; strengthen the construction of the teaching team; and innovate teaching management work models. The experimental results show that after the enrollment of higher vocational colleges under the computer technology is expanded by one million, the teaching management mode of higher vocational colleges should change.
Intelligent Application of Automobile Financial Service in Artificial Intelligence Era
Authors: Wang Xinhua
Published: April 2021

In order to ensure the safety of financing collateral, financial institutions usually entrust third-party logistics companies to supervise the financing vehicles in stores, and the supervision cost is borne by the dealers. However, in recent years, with the increase of labor cost, the pressure on dealers’ income is increasing; and there are frequent cases of third-party supervisors and dealers colluding to sell financing vehicles without permission, It causes the loss of financial institutions’ pledge and the increase of bad debts; Orion supervises the company’s huge compensation liability risk. How to find a more economical and effective financing vehicle management and control mode to avoid personnel risk is a subject that needs in-depth discussion for financial institutions, major automobile manufacturers and dealers. This paper proposes the application of intelligent supervision mode, the use of Internet of things technology, with the help of OBD equipment, certificate key electronic supervision box, combined with the system database, to build a supply chain financial platform, realize the intelligent, real-time identification, positioning, tracking and management of vehicles, ensure 24-hour continuous monitoring, timely warning of abnormal state, alleviate regulatory loopholes, reduce the number of people For the reason of vehicle loss, theft, transfer sales and other risks. Through the questionnaire survey of three stores, more than 98% of the staff are satisfied with the intelligent supervision mode.
Discussion of the Key Technology and Application of Big Data Platform for New Energy Vehicles and V2X
Authors: Wang Xiaolei , Wang Gang , Wang Hailong , Cao Yunfeng , Li Zhitan
Published: April 2021

With the development of the economy and social progress, China’s science and technology industry has made remarkable breakthroughs and progress. New energy vehicles began to appear in people’s lives and gain popularity, in which context, a big data platform about new energy vehicles and V2X (vehicle-to-everything) emerged. Meanwhile, the state regulation of new energy vehicles has been improved. Whether it is new energy vehicles or V2X, these are both products of the information era. The lack of experience in the past had left this unpredictable technology problem in the development process. With such a background, we need to conduct further analysis of the core technology of the big data platform and related applications, and the corresponding improvement approach needs to be put forward.
Novel Coronavirus Pneumonia Epidemic Data Analysis and Regional Prevention and Control Research
Authors: Guan Yi , Tan Lei
Published: April 2021

At the beginning of 2020, a war without smoke of gunpowder came. Scientific prevention and accurate policy implementation is the key to epidemic prevention and control. General secretary Xi Jinping stressed the importance of using big data to strengthen the tracing and monitoring of the epidemic situation. With 1.6 billion mobile phone users in China, the use of Telecom big data analysis can provide strong decision support for epidemic prevention and control in a more real-time, accurate and comprehensive way. In the battle against novel coronavirus pneumonia, the Ministry of industry and information technology has been coordinating and organizing the information and communication industry to support the epidemic prevention and control work with the analysis of telecommunications big data.
Application of Information Technology in Human Resource Management
Authors: Wang Jun , Ma He
Published: April 2021

With the increasingly fierce competition for talents, the continuous development of information technology, and the penetration of big data into various industries, human resource management has to think about the changes in information technology. It is necessary to explore the application of big data in human resource management to carry out more comprehensive and scientific human analysis, therefore it is necessary to explore the application of information technology in human resource management. In this context, this article discusses the combined application of big data analysis and human resource management, in order to provide some reference for the development of enterprise human resource management.
University Mobile Employment Network Information System in the Internet Age
Authors: Tang Weihua , Liu Yongfen
Published: April 2021

The rapid development of mobile Internet has changed our consumption patterns and living habits, and mobile Internet has become a mainstream way of life for us. This article mainly studies the construction of college mobile employment network information system in the Internet era. In terms of software environment, because this system is developed based on architecture, it can adapt to most operating systems. After confirming the choice of B/S architecture, according to the system’s individualization and specific needs, this system will be developed using Portal technology. Specific functional modules are implemented through Portlet components, and the server uses JSP scripts to meet general work requirements. In the school computer room, 120 computers are used for access testing at the same time, and different roles are used for testing at the same time. At the same time, a large number of user login, system operations and query form operations are submitted. The system responds to each user’s request within 5 seconds. Experimental data shows that when n is 40, the recommended accuracy reaches the maximum. The results show that the system designed in this paper has fast response speed and high accuracy.