bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Progress in Image Denoising Algorithms Based on Deep Learning
Authors: Ruikai Cai
Published: November 2019

Images constitute the main source of information to people. Digital images are vital means of obtaining, processing, analyzing, and sharing information in the era of information. Now they have been deeply incorporated into every aspect of people’s production and life, generating considerable social and economic benefits. Thus improving the quality of images and reducing the negative impact of image noises to subsequent image processing have been two important research topics. Image processing technology has been combined with such research fields as cognitive psychology, machine learning, machine vision, and deep learning in recent years, which lead to an unprecedented development level and breakthroughs. Therefore, the study of image denoising technology has profound theoretical significance and promising prospects in practical application. The paper mainly discusses the development course of applying deep learning technology to the image denoising field. Meanwhile, it introduces various classical denoising algorithms and focuses on the thoughts, advantages, and disadvantages of each algorithm. Furthermore, it discusses the challenges faced by deep learning in the denoising field and puts forward possible solutions.
Research on key technologies of intelligent agriculture under 5G environment
Authors: Meng Hainie , cheng Yunli
Published: November 2019

The application of agricultural Internet of things technology is the need of modern agriculture development, and also is an important sign of the future agricultural development level, which will be the direction of future agricultural development. The core technology of intelligent management is to adopt the methods of automation and information. In order to achieve accurate agricultural automation control and facilitate the information and intellectualization of management, it is necessary to develop intelligent agriculture with Internet of things, intelligent perception, intelligent control and cloud platform technology as the core.
Coordination and Optimization of Urban Traffic Control and Path Guidance Based on Multi-Agent
Authors: Wang ZhengQin
Published: November 2019

With the development of society, the urbanization process is accelerating, the urban population is growing rapidly, and the traffic problems are becoming more and more prominent, which seriously affects the normal operation of the city. Transportation is the lifeblood of the city. Scientific management and control is an important way to improve the efficiency of urban traffic operation, and it is also an important symbol of urban transportation modernization, informationization and intelligence. This paper aims to study the new coordinated control method of traffic signals. Different from the traditional coordinated control method of centralized control and hierarchical control, a multi-agent distributed traffic signal coordination control system is established, which distributes the main functions of signal control to Signal control agents at various intersections reduce to the complexity of the control algorithm and improve the reliability and intelligence of the system.
Research on High Accuracy Prediction of Ship Attitude Based on Improved Neural Network Method
Authors: Bu Xu , Cheng Yunli
Published: November 2019

In view of the difficult problem of ship attitude prediction accuracy and the features of ship attitude change, a prediction model of high accuracy of ship attitude based on the improved neural network is proposed. Firstly the data of ship attitude is collected and de-noised. Then the high accuracy approximation to the features of ship attitude changes is carried out by using the improved neural network, some defects of which are improved. Finally the simulation experiment of ship attitude prediction is conducted. The experimental results show that the improved neural network can improve the accuracy of the ship attitude prediction and overcome the disadvantages of the large errors in the other ship attitude prediction models and the advantages of the ship attitude effect are very obvious.
Towards a Smart Manufacturing Maturity Assessment Framework: A Socio-Technical Perspective
Authors: Yue Lei , Niu Pengfei , Fang Yifang , Han Zhonghua
Published: November 2019

Researchers of information technology (IT) have often suggested that there is no clear relevance between the IT investment and return on investment (ROI) of enterprises. This phenomenon is called “productivity paradox”. However, research on smart manufacturing capability maturity did not reflect empirically the fact that enterprises rarely benefit from information systems. Therefore, the aim of this article attempts to explore how humans and technologies are related and propose a smart manufacturing maturity assessment framework that can reveal the interaction between humans and technologies. This research addressed two questions, (a) what domains can be identified for smart manufacturing, and (b) how to harmonize all of the technical and social factors affecting maturity and benefits. A complicated concept “socio-technical system” was surveyed for interpreting how enterprises benefit from technologies. Results of this study showed a smart manufacturing maturity assessment framework from the socio-technical perspective. As an explanation, the understanding of manufacturing operations management (MOM) capability maturity model (CMM) within the framework in the case study and its results were presented. To conclude, this study may be regarded as a meta-model or reference model for specific maturity models, as well as has the merit of offering valuable insights into the maturity assessment.
Research on College English Teaching under the Background of Artificial Intelligence
Authors: Liu Ying , Liu Miao
Published: November 2019

The application of language service products of artificial intelligence has brought great challenges and opportunities to language teaching in colleges and universities: promoting the teaching model innovation; changing the way of students learning; changing the basic functions of teachers. The teaching mode of college English under the background of artificial intelligence should be influenced by several aspects as follows: based on artificial intelligence in college English listening teaching; college English oral teaching based on robot; based on the number of the teaching of artificial intelligence in college English writing; cloud service based artificial intelligence college English in translation teaching.
Study on the motion design and control algorithm of the tortoise robot
Authors: Wang Dongliang , Li Hui , Lin Xiaohu , Wang Mingxin , Cao Qingzhuang
Published: November 2019

Turtle robot is a four-legged robot based on bionic concept. There are many researches on quadruped robots in the world, and many domestic and foreign research institutions have also developed prototypes and conducted relevant researches. If the traditional control system of the quadruped robot is used, it is difficult to obtain ideal results. At the same time, the robot’s feet are easily affected by the external environment, and how to keep the robot moving in a coordinated and balanced manner makes the problem more complicated. Starting from the control problem of the four-legged robot, this paper takes the action controller of the tortoise robot as the research object, studies the control method of one leg, establishes the four-legged eight-joint control system of the tortoise robot, designs the motion and control algorithm, and uses the infrared wireless module for remote wireless control.
Pure Rolling Steering System Design and Research for Wheeled Mobile Robot
Authors: Chen Zhifa , Xie Xiaolin , Gao Feng , Liu Zhengyu , Li Yaoyu
Published: November 2019

In order to solve the problem of the side slip of the wheeled mobile robot adopting the steering trapezium, a novel pure rolling steering system for wheeled mobile robot is designed. It takes advantage of synchronous belt characteristic with long-distance, variable-direction and precise transmission and is equipped with a dual power differential drive axle. This paper details the design points of the whole mechanism; sets up the kinematic models of four-wheeled Ackerman steering, crab movement, and pivot turn modes; and then the steering drive control strategies of various modes of the robot is established. A prototype equipped with a control system consisting of a control center, four steering motors, two drive motors, an electromagnetic clutch and four angle sensors is constructed. Finally, the test results for pivot turn and four-wheel minimum radius steering on the hard road shows that the trajectory slip error are less than 0.2% and 1.7%, respectively. This verifies clearly the correctness and effectiveness of the proposed pure rolling steering system for wheeled mobile robot.
Analysis and forecast of special car market based on BP neural network
Authors: Liu Dengfeng , Yu Haixin , Zhang Chen
Published: November 2019

This paper is based on the macro environment of the special car market and its development status. Combined with relevant data, this paper forecasts the future prospects from the perspectives of the transaction scale, market recognition and the change trend of the number of special cars, we get the current situation of the car market and the future development trend. Then, the BP neural network prediction model is used to predict the demand of the special car. The grey prediction model is used to predict the number of special cars, and then the future transaction scale of the special car market is analysed. The development prospects of the special car market are analysed from the above three aspects, and the future development of the special car is predicted. It is the result that the market will increase steadily but the growth rate has slowed down, which is in line with the actual situation.
Study on the Decision of Supply Chain Considering Asymmetric Information and Quality Competition
Authors: Zhao Chao , Zhao Jing , Wu Gang , Zhang Fan
Published: November 2019

Product quality is a fundamental factor for supply chain to obtain a competitive advantage. This paper studies the decisions of supply chain under asymmetry information of quality effort cost, considering the quality competition of manufacturers. Transfer payment contract is introduced by comparing the Stackelberg model between symmetry information and asymmetry information. At the same time, this paper analyzes the impact of quality competition and false information strategy on supply chain quality decision. The research shows that the quality competition can improves products quality, and manufacturers tend to choose strategy of false information. Moreover, after the introduction of contract, the manufacturers will convey the true quality information and reduce the competition to optimize their own profits.
A Simplified Method for Dynamic Equation of Robot in Generalized Coordinate System
Authors: Dong Sheng , Yuan Zhaohui , Zhang Fuli
Published: November 2019

This paper presents a simplified method of dynamic equations in a generalized coordinate system, which decouples the relative motion of the front and back links of the robot joint, and maps generalized angular variables to the same angular datum. Because of the decoupling between absolute angle variables, the complexity of the coefficient matrix of the dynamic equation of the system is reduced, which facilitates the application of the actual series robot system. The simplified process is derived in detail, and the equivalent relation between the generalized relative coordinates and the generalized absolute coordinate dynamics is demonstrated. The relation can be extended to the dynamic equations of different generalized coordinate variables. Aimed at the problem that the quasi-input moment vectors obtained in generalized absolute coordinates cannot be directly used without considering the dynamic coupling of the whole system, the linear relationship between the input moment vectors in absolute and relative coordinates is found. In the end, a simplified example of the Euler-Lagrange dynamic equation for multi-degree-of-freedom manipulator is given. The relationship between the two input torque vectors is simulated by MATLAB and verifies that the input torque can be indirectly calculated by finding the quasi input torque under the absolute coordinates.
Research on the Influencing Factors of College Students’ Use of Online Learning Platform from the Perspective of Customer Perception
Authors: Wei Yao , Li Jinjing , He Yong
Published: November 2019

[Aim] With the increasing number of users of the internet learning platform, in order to explore the influence factors (perceived usefulness, perceived ease of use, and the learning environment) of the internet learning platform from the perspective of customer perception, the impact of college students using the internet learning platform is the learning platform provides corresponding guidance. [Method] Based on the data of college students’ questionnaires, this research integrated technology acceptance model (TAM) model with customer perception theory to construct the structural equation model to evaluate the impact of perceived ease of use, and learning environment on college students’ use of online learning platform. [Conclusion] The study found that factors of the internet learning platform including perceived usefulness, perceived ease of use, and the learning environment of college students would have a significant impact on its use.
Research on Informatization of Hidden Danger Investigation and Management in Modern Cigarette Factory
Authors: Fang Wang , Xiaoyong Shi , Zheng Qiao
Published: November 2019

As an important part of the development strategy of cigarette enterprises, safety production management is an important guarantee to realize the operation target of cigarette factory and improve the economic benefit of enterprises, among which, hidden danger investigation and management are the most important means and methods. Especially when the industry is striving to achieve “Implementing the New Concept of Development, Go Up to a New Level of Cigarettes”, hidden danger investigation is not tolerated in the slightest carelessness. This paper expounds the improvement of enterprise safety management efficiency and the role of security hidden danger analysis and decision-making by realizing informatization of hidden danger investigation and management in cigarette enterprises. This paper also discusses the infrastructure of system construction, the principles and promotion strategy to be noted in the process of implementation.
Bayesian Network-based GF-City Metropolitan Zone Modelling: an Approach Based on Location Quotient Resource Impulse Response Principle
Authors: Ma Chaoping , You Yucong , Yi Luxia
Published: November 2019

Based on the evolution phenomenon and law of “location quotient”, this paper has studied the mapping relationship between image recognition of GF-City metropolitan area and the impulse response of local industrial resources. Based on the “location quotient” method, the level of local industry specialization in Foshan city was analysed, with the aid of VAR model. With the help of economic logic reasoning method, the VAR regression equation model improved design pattern analysis method was extracted in terms of the typical local industry semantics; a Bayesian network-based VAR model GF-City metropolitan area local industrial resources was constructed together with the impulse response network model. Based on the image recognition evaluation experiment of GF-City metropolitan area, the network combined Bayesian scoring function and search algorithm to carry out learning reasoning, and thus divided into local industrial grammar sub-network, image vocabulary sub-network and mapping relationship sub-network by modularization. According to the trend of node and conditional probability distribution, the image lexical structure and morphological organization characteristics were analysed, and the impulsive local industry resource impulse response knowledge rules were subsequently mined and characterized. Consequently, an example analysis proved the validity and applicability of the modelling method for the knowledge acquisition of the “location quotient” resource impulse response, so as to further analyse and perfect the rapid development of Foshan City with the drive of “GF-City metropolitan area” in the background of GHM Greater Bay Area.
Design and implementation of elderly assistant & custody system based on Kinect and Gizwits
Authors: Yan Ran , Zhang Haoyu
Published: November 2019

Since most of the traditional elderly assistant system cannot achieve remote control and send immediate notifications to their families when falling of the elderly occurs, a somatosensory interactive and remote controllable elderly assistant & custody system is designed and realized based on Kinect and Gizwits in this paper. Old people’s falling can be detected via the depth images and skeleton information captured by Kinect sensor and notified to their family members through web service. Remote control of the simulated smart home appliance through the mobile APP can be achieved via Data Points set in Gizwits cloud platform. Because of the remote control of the domestic appliance and accurate identification of falling-down action, the presented system can provide the elderly people with great convenience and ensure their living safety.
Application of Gait Recognition Technology in Badminton Action Analysis
Authors: Li Yunwei , Jiang Shiwei
Published: November 2019

In order to improve the quality of teaching, achieve better training results and achieve excellent results in athletics competitions, it is especially important to carry out the analysis of badminton routine teaching and athletic competitions. Gait recognition technology is identified by the individual’s unique biological characteristics. With the improvement of computer performance, under the background of the rapid development of big data and artificial intelligence, the video data of badminton is collected by deploying high-performance camera. Video image segmentation, preprocessing, feature extraction, get the badminton player’s three-dimensional gait characteristics data. Using the acquired gait data as a sample, a gait-based machine learning model is constructed, and the sample data is trained. Finally, identification information of badminton players is automatically identified, which facilitates the comparison and analysis of different athletes’ movement data.
Research on Readers’ Behavior of College Libraries Based on Data Mining Technology
Authors: Hu Jianfei , Tang Jinling , Zhang Bin
Published: November 2019

College libraries produce a large amount of book circulation data every day. In addition to recording readers’ personal information, these data are generally used for routine business statistics. Their potential use value is far from being fully tapped and utilized. A careful study of readers’ long-term borrowing history data reveals that there is a certain correlation between readers’ borrowing behavior and books, between different disciplines and between different types of readers and borrowing books. Digging out the correlation between these data is conducive to the rational allocation of resources and improving the utilization of resources. It can also improve the library’s service level. Based on the author’s learning and practical experience, this paper first analyzed the necessity of applying data mining technology to library and then discussed the basic techniques of data mining. The article proposed the basic steps of applying data mining to digital library systems and finally studied The application of data mining technology in the analysis of library readers’ borrowing behavior.
A further analysis of blocking action of the circuit breaker in the relay protection
Authors: Li Guanlin , Xie Jili , Liu Jinhao , Yu Qiying , Lun Yiyang , Lin Guangda
Published: November 2019

With the development of the ages and social progress, our country has enormously developed in the field of smart power system. In most of the power systems, the hydraulic actuator, the operating mechanism and the spring energy storage operating mechanism are all the core issues in the current relay protection circuit breaker opening and closing. The effect of its operation will have a direct impact on the power system and circuit breaker performance. In this paper, by classifying the circuit breaker operating and analyzing the relationship between the blocking action and the relay protection, we can further analyze the blocking action of the circuit breaker in the relay protection, so that we can choose the better action position, and analyze and make researches by following the circuit wiring and dual configuration.
Computer Experimental Course Teaching Reform Design Based on Cloud Computing
Authors: Lei Shi
Published: November 2019

This paper begins with an analysis of the advantages of cloud computing technology in the teaching of experimental courses in colleges and universities. In order to make full use of the role of cloud computing technology in computer-assisted teaching, this paper combines the cloud computing technology with the teaching reform of computer basic courses in colleges and universities. The Design and Implementation of Computer Experiment Course Teaching in the Environment of Cloud Computing Technology. The program builds a computer experiment teaching environment on the basis of cloud computing technology and launches a new teaching reform model based on cloud computing technology. On the basis of cloud computing technology, this paper discusses the practical cases of collaborative learning model and shows that the teaching reform design of computer experiment courses based on cloud computing technology can achieve good experimental teaching effects, further improve the quality of computer experimental teaching, and make students’ innovation and practice. The continuous improvement of capabilities is of great significance to the construction of a resource-saving experimental environment, curriculum teaching reform, and innovative experimental teaching modes.
Application Analysis of Feature Selection (FS) in Bioinformatics
Authors: Song Chang-xin
Published: November 2019

The feature selection (FS) algorithm selects the effective data from the M original features. The effective feature of low-dimensional data is the structural optimization of the high-dimensional samples. The sample data of bioinformatics was studied using the feature selection (FS) algorithm, which was mainly applied to gene sequence analysis, oligonucleotide array analysis and proteome data analysis. This will explore the intrinsic characteristics of biological systems. This paper mainly discusses the application of feature selection (FS) algorithm in life informatics, and points out the development direction of FS algorithm in bioinformatics by analyzing the problems existing in FS algorithm.
Deepening Information Mining Based on Big Data and Refined Decision Management
Authors: Hu Lin
Published: November 2019

With the rapid spread of cloud computing technology and the large-scale outbreak of Internet of Things and mobile Internet applications, humanity has entered the era of big data. Big data sets far exceed the capabilities of current typical database management systems to acquire, store, manage, and analyze. The era of big data has characterized by the in-depth excavation of data, prompting the management model to be refined. Although the data mining technology in the era of big data has brought good news for modern management, it also brings with it various challenges such as data security, data integration, and lack of innovative talents. To meet the changes in the era of big data and promote the refinement of management models, we need to pay attention to the combination of three aspects. The need for data mining technology has combined with the reality of our country, the “real-time” of data mining and the “predictive” of the future Integration; the development of data-depth mining technology combined with relevant legal safeguards.
Research on Germplasm Resources Informationization Based on Mobile Information Technology
Authors: Pu Wenhui , Li Hongli , He Yun , Hong Qingmei , Wenbin Hu
Published: November 2019

The traditional collection of germplasm resources adopts the form of paper collection tables. It takes a lot of manpower and material resources to field operations, and then collects, records, and analyzes the collected data. This operation method is not only time-consuming and labor-intensive, but also cannot perform images. And other important multimedia is data collection. The demand for images by germplasm researchers is not limited to its visibility. They urgently need a real-time, mobile, multi-source acquisition method to achieve a higher level of integration, including basic content, geographic location, and location information. And other multimedia information and other image data information. With the further development of information technology, the Internet has begun to be applied to various industrial fields, and has played a huge role. In order to solve the above-mentioned problems, it is necessary to apply information technology to achieve rapid collection of bamboo germplasm resources. The use of mobile computing and other related information technologies to build a data collection system for bamboo germplasm resources based on mobile computing has not only improved the theoretical application level of mobile computing technology, but also promoted the information collection process of germplasm resources. Therefore, in order to achieve the information collection of germplasm resources, it is necessary to closely integrate this work with mobile computing technology.
RETRACTED: The realization of network security technology based on cloud computing environment
Authors: Yan Wentao , Wang Sai , Wang Chengyuan
Published: November 2019

Cloud computing takes the network technology, virtualization technology, and distributed computing technology as the foundation. The business model of cloud computing is based on its own need and has formed a new application mode with the characteristics of dynamic extension, resource sharing, and others. The cloud computing environment refers to the integration of terminal devices, such as computers distributed on the Internet, to realize hardware and software resources by means of some kind of network calculation. The basic components include the application layer, platform layer, resource layer, user access and management, and technology and take all kinds of cloud computing services as the core. Under such an environment, the user’s data and resources in cloud computing are wholly dependent on the unreliable network communication and partially trusted cloud storage server, which makes the users question the safety of the cloud computing environment, and resulting the arrested development of cloud computing. In this paper, network security risks and current common computer network attack method in cloud computing environment were discussed in detail and the network security protection technologies were proposed to improve the security of network of cloud computing environment.
Design and Implementation of Resource Information Management Based on B/S Structure
Authors: He Dinghua
Published: November 2019

With the development of information technology, network technology and communication technology, mankind has entered the information society. Information society of enterprise management concepts, methods brought revolutionary changes in enterprise information management is a big trend in today’s world of business development, is one of the effective means of enterprises in the unbeaten status in the competition. Enterprise timely access to information, the information can be fully utilized has increasingly become an important factor to measure a company’s competitiveness in the market. This paper introduces the B / s structure information management system applications related technologies, and discusses the enterprise design Resource information management System. This paper studies the use of structural models of corporate information resources management system, it is reasonable to configure enterprise information resources to effectively tap and play information resources, and through the model to help companies improve their decision-making more scientific and efficient, which gives full swing business information and provide a reference.
Analysis and Design Research of Public Sports Information Processing System
Authors: Jin Tianxue
Published: November 2019

Public sports service, is to achieve and maintain social public or community sports public interests, safeguard the rights and interests of sports to achieve the goal, to the public sector as the core, on the basis of statutory duties, the use of public power, through a variety of ways and means, the general term for different forms of public sports goods for public conduct carrier them. Public sports service has four basic characteristics, such as public welfare, universality, basic and culture, and it has also become a public sports service. The public sports need is the source of the public sports service supply, and directly affects other links in the public sports service system. Public sports need are generally related to public interests and demands in social life, and sports need to be spillover, which is related to the direct or indirect benefits of the state and society. In this context, with the continuous improvement of the level of sports informatization, the public sports information management system has been applied more widely in school sports, competitive sports and social sports. From a single system to file system / server mode based on the client / server based (Client Server C/S) model of the system to the system based on the browser / server, management information system and various forms of service in sports management. This article follows the software engineering method, according to the actual needs of the management of public sports resources management business, expounds the system requirements analysis, system design, system implementation, and the whole system development process. The system takes VS as the development tool and ASP.NET as the development technology.
A Study on Design and Key Technology of Intelligent Power Grid Dispatching Visualization System
Authors: Kang Zhongmiao , Li Yijie , Wu Zanhong , Wang Ying
Published: November 2019

The design principle of smart grid and the operation mechanism of smart grid dispatching system are studied. A visual system design framework of Smart Grid Dispatching Based on interactive operation of visual interface is proposed. The intelligent grid dispatching visualization model was constructed from four aspects: early warning, analysis, control and observation. The key technology research including system intelligent intelligence and rapid simulation modeling was analyzed in detail. It is designed to ensure the safe and stable operation of the system while improving the efficiency of the dispatcher.
Research on Active Distribution Network Monitoring and Police Method of Substation Based on Fault Tree
Authors: Hao Dai , Zhenbao Yang , Zhicheng Xue , Zhiwen Cui
Published: November 2019

Substation is a power facility for transforming voltage, receiving and distributing power, controlling power flow and adjusting voltage in power system. After the active distribution network fails, it can effectively improve the power supply reliability of the distribution network by comprehensively utilizing the islanding operation ability of the standby contact line and the internal DG to restore the power supply for the outage load after the failure. Considering the main transformer fault and the timing characteristics of the DG output, the fault point is located in the shorter section between the intelligent bodies through the initial fault location. The fault secondary point is used to determine the fault point and the switch on both sides of the fault point is disconnected. Isolating the fault zone and restoring the power supply of the non-faulty section. It is an important technical measure to ensure that the voltage of each node in the power grid meets the required constraints, accurately locate the fault point, and ensure the reliable operation of the power grid.
Reliability - Based Distributed Generation Optimization in Demand Response Planning
Authors: Niu Getu
Published: November 2019

Energy is an important material basis for social development. People should pursue the optimal distribution of distributed power generation in the transmission system, establish a new power algorithm, and form the optimal power distribution scheme. The economy and safety of power operation can be guaranteed, and the distribution mode of distribution network becomes more reasonable. On this basis, it is hoped that the study of this paper can provide some constructive suggestions for the power generation of the transmission system, and various demand can be satisfied.
Analysis of interference and protective measures of electrified traction current on signal track circuit based on Moire signal
Authors: Wang Juanjuan , Jian Yajuan , Zheng Jianbo
Published: November 2019

In railway transportation, electric traction can greatly improve the transportation capacity, can significantly save energy and has no environmental pollution. It is one of the main signs of railway modernization. With the development of railway transportation and the increase of train weight and train speed, the electric traction current also increases. Electric traction also brings great strong electric interference to railway signaling equipment, and the influence of traction current on signaling equipment also increases. However, the return of unbalanced traction current in the rail has the most serious conductive interference to the track circuit. If certain protective measures are not taken, it will affect the normal operation of the track circuit. The track relay malfunctions, causing an error display signal, a locked circuit error to unlock, and even burning the device. Such as rail circuit insurance, choke transformers, etc. Without the support of more advanced railway signal equipment, the advantages of electrified railways cannot be fully utilized. Therefore, it is necessary to understand the formation of the unbalanced current of the rail and take protective measures to make the signal equipment work stably and reliably.
Forensic originality identification of iPhone’s voice memos
Authors: Zeng Jinhua , Lian Qiuxiu , Shi Shaopei
Published: November 2019

In this paper, we focus on the meta-data analysis methods and digital forensics techniques to solve the problem of forensic originality identification of audio recordings recorded by the Voice Memos App in the iPhone. The Voice Memos App is the built-in application for voice recording and editing in the iPhone. We first introduce the features of the Voice Memos App. Then, the experimental study is carried out to collect and analyze the original and the non-original audio recordings from different iPhones and iOS versions. The file structure pattern, time related file attribute information pattern, application database data pattern of the original audio recordings are analyzed and concluded in this paper, which can be valuable for forensic identification of original audio recordings.
Real-time online monitoring and protection control system for automobile generator based on artificial intelligence
Authors: Bo Haonan , Qin Mengxin
Published: November 2019

This paper mainly introduces the shortcomings of the traditional automobile generator control system and the improvement of the defects of the traditional automobile generator control system. This article is divided into seven chapters to describe the design background, design ideas, implementation plans and test results of the intelligent detection and protection system for automotive generators. The first chapter mainly introduces the domestic and international research on the intelligent detection and protection system of automobile generators and the design significance of the intelligent detection and protection system of automobile generators. The second chapter briefly describes the overall design ideas and plans of the intelligent detection and protection system for automobile generators, and proposes the general design direction of the overall system. The third chapter puts forward the hardware implementation scheme of the intelligent detection and protection system of automobile generators. The fourth chapter mainly summarizes the design ideas and design methods of the main software of the system. The fifth chapter mainly sets the parameters of the intelligent detection and protection system of the automobile generator, and reduces the error to the allowable range. The sixth chapter is mainly about the experience and summary of this research topic.
Boolean Matrix Decomposition for Label Space Dimension Reduction: Method, Framework and Applications
Authors: Liu Lin , Tang Lin
Published: November 2019

Recently, the large number of labels challenges the traditional multi-label classification methods in various application scenes. We introduce a framework of multi-label classification based on Boolean matrix decomposition for giving various multi-label classifiers the ability to predict labels in a high dimension label space. The BMD module in this framework satisfies two conditions of ‘the column use condition’ and exacts BMD, which can reduce the burden on training and predicting task of multi-label classifier to some extent, and the predicted result of multi-label classifier can be restored to original label space by simply Boolean multiplying with matrix. Experimental results on yeast datasets demonstrate that our framework can work particularly well on datasets with a large number of labels and obtain a better predicting accuracy. In summary, the methods discussed in this paper constitute important basic for utilizing more multi-label classifiers in high label dimension space, which is the main contribution of this paper.
Collaborative Filtering Based on Orthogonal Non-negative Matrix Factorization
Authors: Huang Meng , OuYang JiHong , Wu Chen , Bo Liu
Published: November 2019

In order to study the application of orthogonal nonnegative matrix factorization (ONMF) in collaborative filtering, so as to improve the recommendation accuracy of collaborative filtering, firstly, the theoretical knowledge of the existing matrix factorization model was analyzed and discussed, and then linearization correction was added to the matrix factorization model. Secondly, orthogonal constraints were added to the traditional weighted non-negative matrix factorization model (WNMF) to make the algorithm decompose the original data into non-negative matrices. Finally, the NMF collaborative filtering algorithm based on unit factorization and graph regularization correction (RTGNMF) was proposed. Three models, RTGNMF, positive ONMF and WNMF, were compared in NMAE/RMSE on real simulated data sets. The results show that once Tikhonov is used to correct the parameters in NMF model in single graph, the RMSE value will continue to decline based on the parameter adjustment of D1 dataset. RTGNMF, ONMF and WNMF all change the recommendation performance of high-dimensional data to a certain extent. ONMF has higher recommendation accuracy than WNMF. The robustness and adaptability of RTGNMF, ONMF and WNMF decrease in turn. RTGNMF and ONME make up for the shortcomings of current collaborative filtering algorithms to a great extent, and have obvious advantages over traditional algorithms. Adding linear correction in the iteration process of matrix factorization can converge and oscillate progressively, and adding orthogonalization constraint can significantly improve the redundancy of data and effectively improve the recommendation accuracy of collaborative filtering.
An algorithm study of electrocardiogram signal denoising by using wavelet transform method
Authors: Liu Ruixia , Wang Yinglon , Shu Minglei , Gao Tianlei
Published: November 2019

In order to remove the noise interference in Electrocardiogram (ECG) signal, an optimal denoising algorithm based on wavelet transform is proposed. To make use of the multi-resolution feature of wavelet transform, it is adaptive to signal and can reduce the complexity of denoising algorithm, and ensure the ECG main information features are not lost. The results show that this method can effectively denoise ECG signal and is suitable for biological signal processing with low signal noise.
Projectile Impact Point Prediction Based on Genetic Algorithm BP Neural Network
Authors: Wang Sen , Wang Liangming , Jian Fu
Published: November 2019

Aiming at the problems of long calculating time and cumulative error in traditional projectile impact point prediction methods, a prediction method based on BP neural network is proposed in this paper. In order to avoid the local minimum and slow convergence speed, genetic algorithm is used to optimize the initial weights and thresholds of the BP neural network. The model of genetic algorithm BP neural network for predicting the impact point of projectile is obtained by training the model with a large number of flight state parameters and impact point information, and the simulation test is carried out. The simulation results show that the method can predict the impact point with high accuracy, and it is superior to the numerical integration method in calculating time. Therefore, it is reasonable and feasible to use this method to predict the impact point of projectile, which provides a reference for the practical application of projectile impact point prediction.
An embedded C language Target Code level Unit Test method based on CPU Simulator
Authors: Wang Heng , Chen Xinrui
Published: November 2019

For the 8bit MCU of RISC architecture which is widely used at present, the internal resources such as Rom Ram stack are all limited. If written in C language, a C language instruction will become a lot of machine code after compiling, and it is easy to find that the ROM space is not enough. Stack overflow, etc. One of the biggest advantages of C is that it has nothing to do with any particular hardware or system. This allows a user to write programs that run on almost all machines without any modification. This paper presents an embedded C language target code level unit test method based on CPU simulator.
A formal Analysis method of C language Real-Time system Operation based on TMSVL
Authors: Zheng Bigeng , Chen Xinrui
Published: November 2019

The formal method requires a certain mathematical foundation, and the formal method can accurately standardize and verify the software system, which greatly improves the security and reliability of the software. This paper further analyzes the basic things of C language. We also learn to analyze the known and unknown topics, learn to consider problems together, and gradually expand our thinking. In particular, when confronted with major problems, the breakdown into many small problems to solve. This paper presents a formal Analysis method of C language Real-Time system Operation based on TMSVL.
Improvement and parallelization of k-means clustering algorithm based on Spark platform
Authors: Xiang Zhihua
Published: November 2019

Clustering algorithm analysis is a very common data mining technology in the current industry research, and has been widely promoted and applied in many social marketing and other related industries. It can not only classify, identify and optimize customers accurately, but also design documents by various data processing methods. K-means clustering algorithm is based on the relevant ideological content of “birds of a feather flock together” to split and synthesize data, so that the similarity of data between different clusters can reach the highest. This paper discusses and improves the algorithm based on Spark.
Design of high efficiency dc switching power supply based on soft switch
Authors: Wu Hao , Xiao Linyan
Published: November 2019

At present, due to the small size, high power density, high efficiency, a variety of switching power supply is getting more and more widely used. With the improvement of automation degree of power system, especially the microcomputer of protection device, the program control of communication device and the requirement of power efficiency are also increasing. In order to solve the problem of high power consumption and unstable output of linear circuit in the process of energy conversion, this paper proposes a stable switching power supply based on SG3525 control. The constant voltage source USES PWM control principle to control the duty ratio of the switch tube to achieve the output voltage of 24V. Since the switch power supply design is usually based on the ideal state of the device, SABER simulation software is used to verify the feasibility of the circuit. At the same time, through physical verification, the circuit performance when the input voltage fluctuates. And test the load capacity and work efficiency of the circuit.
RETRACTED: Research on Process Optimization and Reconstruction of Future Media Ecology in 5G Background
Authors: Zhang Shan
Published: November 2019

On June 6, 2019, China’s Ministry of Industry and Information Technology officially issued a 5G commercial license, which indicates that China officially entered the 5G commercial year. As a new generation mobile communication system developed to meet the needs of mobile communication, 5G has become a research hotspot in the field of mobile communication in China. Based on the forward-looking issues of 5G in the field of media ecology in China, this study studies the application scenarios based on 5G in the media field on the basis of fully considering the environmental complexity and technical complexity at home and abroad, and deeply explores the process of 5G for the future media ecology. Optimize and restructure, and then build a future media management optimization path, promote the innovative development of 5G in the future media ecology, promote the innovation of the media industry business model, accelerate the media integration process, build a media industry value chain linkage mechanism based on 5G technology, and build A group of new mainstream media with various forms, advanced means and competitiveness, and built several new media groups with strong strength, communication, credibility and influence to form a future media culture with three-dimensional, diverse and integrated development, and enhance the national culture. Strength provides ideas.
Scheme Construction of VR Cloud Integration Intelligent System Based on Internet of Things
Authors: Ren Jianlan , Wenxin Xiong
Published: November 2019

With the rapid development of mobile Internet and intelligent terminals, the privacy data generated by mobile applications is increasing. Because of the limited computing and storage capacity of mobile intelligent terminals, the security measures designed for traditional network terminal devices are not suitable for mobile intelligent terminals. This paper analyses the current application situation of virtual reality technology and Internet of Things technology and the bottleneck of engineering application and popularization, and probes into relevant problems. On this basis, a new model of intelligent system based on virtual reality and Internet of Things is proposed. The extended Spice protocol provides efficient support for front-end separation of displays and calculations. The encryption master key is generated by splicing the keys generated by the authentication cloud and the mobile intelligent terminal, and the master key is used to effectively prevent the mobile intelligent terminal and the cloud storage server from leaking the privacy data of the mobile user. Realize the unified management, flexible deployment, flexible delivery and automatic operation and maintenance of basic resources, and promote the transformation of application deployment from applying for equipment to applying for service.