bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Multi-terminal Pilot Protection Algorithm in Network Information Big Data for New Feeder Automation Terminal
Authors: Zheng Jianning
Published: August 2021

With the development of big data and Internet of Things technology, society has put forward higher requirements for the safety and reliability of the power grid. In order to improve the overall power supply quality, the State Grid Corporation changed the previous concept of focusing on power transmission and light distribution, and increased its investment in the field of distribution network, which ushered in its own spring for the entire power distribution industry. This article aims to study the application of big data-based multi-terminal longitudinal directional protection algorithm in the new feeder automation terminal. Based on the introduction of the development status of feeder automation, the existing problems and the workflow of the multi-terminal longitudinal protection system, the multi-terminal longitudinal protection system is analyzed. The application of the directional protection algorithm in the feeder automation terminal. Finally, the treatment of abnormal situations is studied. The research results show that the new type of feeder automation terminal only needs to exchange the comprehensive information of the fault to independently detect and isolate the fault. This multi-terminal protection the structure has high flexibility and can quickly isolate faults, which can meet the protection requirements of the new feeder automation terminal.
Application of support vector regression in prediction model using genetic algorithm optimized
Authors: Du Wenke , Chen Ruihan , Cong Zhenglong
Published: August 2021

No matter in any period, housing is the most basic demand of people’s life, and it is closely related to people’s daily life. Although many domestic and foreign experts have done research and prediction on housing prices, the causes of housing prices are complex, and the results of housing price research in different regions and different periods are very different, and most forecasting models have limitations in the use of them. Therefore, this article is based on the performance of support vector regression depends on the characteristics of key parameter selection, and uses genetic algorithm to optimize the penalty parameters, kernel function parameters and insensitive loss function of the support vector regression model. The optimized parameters are used to establish a support vector regression prediction model, and the housing price is predicted through the prediction model. The simulation results show that the convergence speed and prediction accuracy of the support vector regression prediction model optimized by genetic algorithm have been greatly improved, and the prediction results verify the feasibility and effectiveness of the model..
Machine Learning and Artificial Intelligence Applied in the Research of the Emotions Impact on Forecasting
Authors: Jiang Yaokui , Zuo Yi , Yang Yudong
Published: August 2021

According to the behavioral finance theory, the psychology and behavior of investors in capital market have an important impact on the fluctuation of stock index. Therefore, this paper assumes that there is a certain internal mechanism between investor sentiment and stock index, which can predict the overall price change of the stock market. The text mining technology and sentiment analysis method can be used to generate a total of six categorypositive and negativeinvestor sentiment time series data, with three orders; The methods such as unit root test, Granger causality test and factor analysis are used to construct the composite index of SSE investor sentiment, and then the support vector machine and neural network are adopted to predict the stock market price changes and conduct the hypothesis verification. The results indicate that the SSE investor sentiment composite index constructed by using the text data of online stock market forum and stock transaction data can improve the accuracy of stock index trend prediction, which is conducive to better decision-making of the government, online platforms, listed companies, and investment entities.
Application of Running Speed Coordination on the Analysis of Road Alignment Intelligent Recognition
Authors: Wei Jun , He Jia , Meng Weiwei , Gao Lixia
Published: August 2021

For road alignment design, the design speed is the control basis of the current road design and determines the minimum index value of the route alignment design elements. The actual driving speed is important to measure and check the rationality of the route design index and whether the coordination is appropriate. According to the basis, the change range of its operating speed objectively reflects the balance of the linear index and the continuity of the road linear design. Based on the coordination of operating speeds, this paper analyzes the route of the reconstruction project of the 207 National Road (K3075+800—K3077+600) in the Guangdong-Guizhou County Economic and Industrial Cooperation Demonstration Zone (Xindu Industrial Zone), and takes the ratio of the operating speed difference between adjacent sections as the analysis. Indicators, the results show that the line shape of this section of the project is reasonable.
Design of Bionic Robot Fish Propelled by Two Joint Caudal Fin
Authors: Wu Renxiang , Du Gang , Liu Zheng , Zhang Dongxia , Yu Yingjie
Published: August 2021

The research of biomimetic robot fish has always been the focus of related fields of underwater robots. And the idea of underwater fish propulsion can be widely applied in scientific research, industrial and military fields. In this paper, a bionic tail fin propelled bionic robot fish is designed, and the corresponding program is designed and programmed through hardware circuit to realize the pipeline cruise inspection, Bluetooth communication control and the realization of image return by camera. The designed robotic fish can complete pipeline cruise and other tasks underwater.
Research on Music Copy Generation Method of Smart Speakers
Authors: Huang Yangyang , Luo Huang , Qin Fangyun
Published: August 2021

Smart speakers have become more and more popular in recent years with the continuous development of artificial intelligence. In daily life, dialogues between users and smart speakers can realize music play now. Currently, most manufacturers have made smart speakers directly play the song that the user wants to listen to, or inserted a fixed-style copy before playing. To provide users with a better music experience and allow users to have a deeper understanding of songs, a radio-like approach is planned to be adopted, inserting some personalized music copy before smart speakers play music. In this article, TextRank-based automatic text summarization and keyword extraction methods are used to efficiently and automatically generate short, appropriate, and personalized music copy from the song library, and insert the copy before the smart speaker plays the song. This will not only increase the users’ music experience, but also allow users to express their emotions with music as sustenance. The research on the music copy generation technology of smart speakers can not only improve the music experience of users but also has a great impetus to improve the functions of smart speakers.
Intelligent public transport cloud platform dispatching operation management system development
Authors: Gao Junpeng , Hong Xing , Liu Gengqi , Wang Lin
Published: August 2021

In recent years, with the rapid development of various cities, the operation and maintenance of the public transport system has become increasingly prominent problems, the development of the intelligent public transport system has been imperative. This paper takes the intelligent public transport system as the research object, using wireless network transmission technology, big data retrieval and processing, cloud computing platform and other technologies, analyzes the main requirements of the intelligent public transport system. This system adopts the classic three-layer architecture of the Internet of Things, namely, the perception layer, the network layer and the platform layer. Intelligent public transport dispatching system is the core system of intelligent public transport. The paper uses frog leaping algorithm as the dispatching algorithm to realize the function of public transport dispatching. Through the test, it can complete the task of adding or reducing vehicles according to the increase or decrease of passenger flow. The design and implementation of the cloud platform provides a strong support for the renewal and development of modern urban public transportation system, and has a certain guiding significance. As a complete system with more rapid and accurate management, more convenient and efficient operation, it improves the public transport dispatching ability and improves the travel experience of passengers, and has a cross-era significance for the development of urban public transportation.
Research on Double Hanging Point Hydraulic Synchronous Control System Based on Fuzzy PID
Authors: Jiao Deqiang , Wang Dinghao
Published: August 2021

Hydraulic hoist is required to open and close the gate. In recent years, scholars have studied a lot of different types of hydraulic hoist, in which the double point hydraulic hoist is one of them. Double point crane hydraulic hoist mainly uses the hydraulic synchronous system. In this paper, the hydraulic synchronous system as the research object, through the electrohydraulic proportional speed control valve research, analysis of its working principle. Then, the traditional PID control method and the fuzzy PID control method are compared and analyzed. It is found that the fuzzy PID control ability is better than the traditional PID control method. Fuzzy PID realizes hydraulic synchronization by adjusting the electro-hydraulic ratio of speed control valve.
Forest Wildfire Monitoring and Communication UAV System Based on Particle Swarm Optimization
Authors: Yang Jiahui , Qian Juncheng , Gao Hongwei
Published: August 2021

Forest fire is one of the major disasters faced by the society at present. During the drought every year, devastating wildfires often occur all over the world, causing serious economic losses and life injuries. The effective layout of unmanned aerial vehicles in the monitoring system is the key to effectively prevent forest wildfires. Wildfires occur suddenly and rapidly, and most of them occur in dense forest areas which are difficult for firefighters to reach. Considering the factors of economy, security and capability, an efficient and accurate integrated optimization layout model of UAV is proposed. The UAV monitoring system based on this model can make the emergency operation centre best guide the active crew through two-way radio communication, so as to achieve the best effect and maximum safety. We optimized the number and combination of drones by using optimization algorithm, and got the highest scoring drone procurement plan in different types of areas. For example, when meeting low terrain without obstacles, the optimal number of drones for SSA is 20 and for Radio Repeater is 1 in high risk. Finally, we analysed the influence of global climate change, fire scale, UAV density and terrain on the optimal location of UAV.
Design of Tunnel Automatic Monitoring System Based on BIM and IOT
Authors: Qian Haotian
Published: August 2021

At present, the application of BIM and IoT in construction is more and more common. However, few studies combine BIM with IoT for real-time monitoring of mountain tunnels. This paper have designed a tunnel automatic monitoring system based on BIM and IoT. Various sensing devices are arranged inside the tunnel to collect deformation, groundwater level and other monitoring data. Satellite monitoring data is collected through GNSS outside the tunnel. The above information is dynamically transmitted to the cloud computing platform by using the NTRIP and ZigBee wireless communication technology. At the same time, the data in the construction drawings are imported into the 3D model by BIM technology to informationize the tunnel model and visualize the monitoring data. This can effectively reduce the accident rate and improve the efficiency of tunnel construction management. At the same time, it provided a new idea for the joint application of BIM, IoT and GNSS in tunnel automatic monitoring system.
Research on Scheduling Based on Spatial and Temporal Distribution Characteristics of Piled Shared Bicycle
Authors: Ge Jing , Zhang Yi
Published: August 2021

With the development of bicycles, the problem of having no piles to park and no cars to use also appears. Because the driving mechanism of bicycle travel is not understood, the operation personnel in charge of redistribution have no way to start. In this paper, from the perspective of subway station and city bus transfer system, starting from the characteristics of road network, combining with the nature of land use, the spatial-temporal characteristics of quantitative analysis is carried out to study the spatial-temporal distribution law of travel behavior. Based on the above factors and the supporting conditions of the bicycle facilities, the common least square model was established. It was found that the number of stations in the traffic district was the most important variable, indicating that the basic supporting facilities had a great impact on the number of bicycle trips. Then, the number of bicycles and piles was deeply studied. Firstly, the stations are classified according to K-means, and defined as low-frequency high flow, high-frequency low flow, low-frequency low flow, and medium-frequency low flow according to the average of clustering results. Then, the redistribution suggestions are put forward respectively for these categories. For outflow clustering with large values of O and D, R can be predicted by BP neural network to provide reference for redistribution and distribution.
Bat algorithm for multilevel image thresholding based on Otsu and Kapur’s entropy
Authors: Yang Shengli , Chen Qiang , Peng Ling
Published: August 2021

Multilevel image thresholding has attracted plenty of attention in the past decades. Otsu and Kapur’s entropy-based methods are often applied to search the optimal bi-thresholding. These techniques are also suitable for multilevel thresholds. However, it takes a lot of computation to solve the multilevel threshold problem. To address this problem, in this paper, a recently proposed bat algorithm is used to find the appropriate multilevel thresholds, in which Otsu and Kapur’s entropy is regarded as its fitness functions. Evaluation of image segmentation effect is performed using the peak-to-signal ratio (PSNR) and structural similarity (SSIM) index. The experiment results show that Otsu based method is more suitable for multi-level threshold image segmentation.
Small sample vehicle target recognition method for unmanned aerial vehicle system based on deep learning
Authors: Zhang Tingping , Wan Di
Published: August 2021

Vehicle target detection technology refers to the process of vehicle detection and recognition in the image data set of different backgrounds by means of feature extraction. The vehicle target detection technology based on deep learning shows obvious advantages in the accuracy and speed of target detection. With the development of science and technology, the detection and recognition of vehicles in UAV aerial images has become an important applied research direction. This paper studies the detection and recognition of UAV aerial vehicle based on deep learning, and proposes a new deep learning-based algorithm to solve the problem that incomplete vehicle targets in the UAV aerial vehicle based on YOLOV3 algorithm cannot be recognized, and vehicles close to the UAV aerial vehicle are missed. Experimental verification results show that, compared with the existing algorithms, the proposed algorithm can significantly improve the detection accuracy of UAV aerial vehicle based on deep learning while ensuring real-time performance.
Research on the Realization and Application of Intelligent IoT Platform for Electrical Equipment under Industrial Internet
Authors: Bian Longjiang , Zhang Jingwei , Cui Qiang , Chen Xi , Wang Sheng
Published: August 2021

In the context of the industrial Internet, the new generation of information technologies such as the cloud, large, and mobile smart areas are becoming more mature and widely used. Intelligent manufacturing leads the transformation of manufacturing methods. The new development concept represented by “modern smart supply chain” is also getting more and more attention. Therefore, building a smart supply chain has become a new research direction, and building a smart IoT platform for electrical equipment is conducive to building a modern smart supply chain system. The current research on the intelligent IoT platform for electrical equipment is mainly in the platform structure design and key technologies, and there is a lack of implementation and application research on the intelligent IoT platform for electrical equipment. Therefore, this article will conduct research from the realization and application status of the intelligent IoT platform for electrical equipment, the problems in the implementation process, the key technologies and solutions used to solve the problems, etc., to provide a good basis for the construction and application of the intelligent IoT platform for electrical equipment. Provide reference for development.
InISAR Imaging of Maneuvering Target Base on Motion Compensation and Image Coregistration
Authors: Huang Jinhai , Zhou Jianjiang
Published: August 2021

The imaging of maneuvering target is the main research content of Interferometric Inverse Synthetic Aperture Radar (InISAR). Since it is quite difficult to obtain the effective data of the moving target, both the residual translational compensation and least square method are proposed to realize the imaging of the target according to the principle of InISAR in this letter. First step, the echo model is established to perform motion compensation. Second step, perform image registration on the signal. Third step, the ISAR image is obtained via extracting the peak value, then perform the interference processing imaging. Finally, Simulation results show that this method can be used for image recognition.
Research on dynamic target tracking algorithm in mobile sensor networks
Authors: Lu Shiwei
Published: August 2021

With the increasing complexity of networked cooperative detection environment, new targets appear and leave in the detection area, and the mobility of targets is increasing. The emergence of sensors makes the sensors in the sensor network have certain motion characteristics. These uncertainties increase the complexity of the problem. At the same time, the dynamic selection of sensor resources needs to consider the needs of different priority tasks, platform survival risk, sensor cost and other factors. In view of these problems to be solved, based on the qualitative synthesis theory of predictive control and stochastic dynamic programming optimization theory, the dynamic sensor selection decision theory and method based on multi-step forward decision are explored. This paper studies the dynamic sensor strategy based on multi-step forward decision scheduling, and carries out the research on the optimization decomposition method of sensor selection under different structural characteristics, the dynamic optimization method of sensor selection under complex and uncertain environment, and the multi-objective optimization method of dynamic sensor selection under heterogeneous targets, so as to explore a new way of dynamic sensor selection algorithm design and performance analysis under networked collaborative tracking A new way. The research of dynamic target tracking algorithm in mobile sensor networks has important theoretical and engineering significance to improve the resource efficient utilization and the overall target tracking performance of sensor networks.
Non-contact infrared temperature detection and RFID technology access control design
Authors: Zhu Zimin , Huang Yuehong , Chen Zhichao , Huang Hui
Published: August 2021

The non-contact infrared body temperature detection and RFID technology access control design uses 51 single-chip microcomputer as the core main control module, which combines infrared temperature measurement function (GY-MLX90614 sensor) and radio frequency (MFRC522) card swipe access control system, through swiping card and temperature measurement together control the door opening and closing. When it works in the high-risk zone mode, it detects the body temperature while swiping the card. If the body temperature is normal, the door opens, if the body temperature is abnormal, the door does not open and the buzzer sounds; when working in the low-risk mode, if the body temperature is normal, the door opens, If the body temperature is abnormal, the door opens and the buzzer sounds. Finally, it inputs the obtained card information and body temperature data to the WiFi circuit (ESP8266) through the serial port, and uses it as a hotspot to connect to the mobile device to realize data transmission, so as to realize more efficient unmanned management in different areas during the epidemic.
Design of zero position movement control and damping structure in infrared gun sight
Authors: Hongying Sun , Pu Ma , Zhenhao Duan
Published: August 2021

In this paper, starting from the key technical indicators of the infrared gun sight mirror, through the analysis of the cause of zero movement, on this basis, the design of zero movement control is carried out, and on the basis of ensuring that the zero movement momentum meets the index, the design of multiple damping structure is carried out. Through the field shooting test, the design method meets the requirement of zero movement momentum of 0.5mil. In terms of shock absorption, twenty thirty bad elements are reduced to 1-2 after the shock absorption, and obvious results are obtained. The feasibility and effectiveness of the design method mentioned in this paper in the design of zero position motion control and damping structure of infrared gun sight mirror are illustrated.
Application of Intelligent Technology in Electrical Engineering Automation Control
Authors: Huiyong Hu
Published: August 2021

Aiming at the problems of low control precision and complex control process in electrical engineering automation control, this paper proposes a kind of intelligent electrical engineering automation control technology based on DeviceNet. This paper focuses on the development process, communication protocol and object modeling method of DeviceNet universal I / O interface based on microprocessor. At the same time, this paper designs the application layer software, and gives the detailed hardware circuit and software design process. The experimental results show that the method can reduce the complexity of the control process and improve the control accuracy.
Optimization Model of Urban Rail Transit Operation Management Based on Neural Network Algorithm
Authors: Yang Liyuan
Published: August 2021

In order to improve the accuracy of urban traffic flow information and improve the efficiency of traffic control, this paper studies the application of artificial intelligence technology in urban traffic. This paper mainly introduces the intelligent transportation data acquisition and control system based on artificial intelligence and neural network architecture, and points out the trend of the integration of neural network technology and intelligent transportation. This paper designs an intelligent transportation data fusion method based on neural network, and applies it to real-time acquisition, inductive dynamic control, optimal path planning and so on. In this paper, the application of geographic information system (GIS), various intelligent sensors and electronic tag positioning technology in intelligent transportation system (ITS) is described in detail.
English Machine Translation Model Based on Artificial Intelligence
Authors: Li Xueting , Hao Xing
Published: August 2021

Machine translation is a language processing method that is widely used at present. However, because the machine translation mechanism extremely relies on rigid grammatical rules, the system often has large understanding deviations in the process of processing the original text, and it is often difficult to accurately grasp the semantic features. In this context, the author proposed an optimization method for English machine translation which is based on artificial intelligence on the premise of weakening grammatical rules. The above method first analyzes the grammar rules of English, and then obtains the semantic Gaussian marginalization rectangular window function. These functions project a large amount of information entropy data of English semantics. In order to obtain the nonlinear spectral features of adaptive matching semantics, the semantic correlation factors of words are added to the text information entropy and information gain. Simulation results show that the proposed method achieves good machine translation effect and has good development space.
Mechatronics Fault Prediction and Diagnosis Based on Multi Sensor Information Fusion
Authors: Yu Jinghua
Published: August 2021

This paper studies the mechatronics fault prediction and diagnosis based on multi-sensor information fusion. According to the method of data fusion, the fault diagnosis system is divided into data level fusion module, feature level fusion module and decision level fusion module. The data level fusion module mainly processes the measured signals of multi-sensor to extract the feature information of fault diagnosis. The feature level fusion module uses three parallel neural networks with the same structure. In this paper, the basic probability assignment method of decision level D-S evidence theory is used as the basic algorithm of data processing. The decision-making level uses the method of D-S evidence theory to fuse the results of feature level local diagnosis to get the final diagnosis result. The experimental data show that the accuracy and efficiency of the proposed Mechatronics fault prediction and diagnosis system based on multi-sensor information fusion can meet the requirements of engineering technology.
Adaptive preprocessing of character recognition image based on neural network
Authors: Wang Fang
Published: August 2021

Words in natural scenes contain abundant information. Automatic acquisition of text information in images can help people understand images more effectively and further process images such as storage, compression and retrieval. Pattern recognition technology is to use machines to simulate people’s various recognition abilities. At present, it mainly simulates people’s visual and auditory abilities. Based on BP neural network in deep learning, a text positioning BP neural network is proposed, which automatically extracts the text features in the image and avoids the defect of using manual design features This paper studies the preprocessing algorithm of Chinese character recognition in natural scenes, including binarization of text regions, extraction of character colors, clustering analysis of colors, segmentation of characters, etc., and designs the rules for merging text regions after positioning. Experimental results show that the algorithm can solve the problem of insufficient recognition ability for text images and long-sequence text images with complex background noise between characters when the background and text gray level are similar.
Application Data Mining Technology in Construction of College English Blended Teaching Mode
Authors: Wei Wei
Published: August 2021

With the opening up of China, the communication with the international community is increasing, and the technical talents who can adapt to the international trade are more and more eager. But at the same time, there are still some problems in English Teaching in higher vocational colleges, such as the lack of teaching time, the uneven English foundation of students due to different sources, and the low enthusiasm and fear of difficulties in English learning. Based on the practice design of mixed teaching mode, this paper analyzes the statistical results. According to the results, SIG. Value is 0.238, greater than 0.05, and sig. (bilateral) value is 0.047, less than 0.05. According to this significance level, we can know that there is a significant difference between the two classes. Therefore, compared with the traditional English teaching, SPOC teaching mode based on blended learning theory can improve students’ overall English level and learning efficiency.
An electronic component defect detection method based on SVM
Authors: Zhang Poxi , Qian Weiqi , Cai Hongbin , Lu Guanghui
Published: August 2021

In the production process of electronic components such as capacitors, bubble defects will occur inside the devices, which will lead to the loss of the functions of electronic components. Traditional methods for detecting bubble defects have many problems, such as low efficiency and low accuracy. Aiming at the bubble defects of the existing electronic components, an SVM-based detection method was proposed, which combined machine learning and image processing to complete the automatic detection of the bubble defects of electronic components. By using the feedback method, the error results obtained from the model classification are added to the training sample set, so that the problems of insufficient sample quantity and incorrect sample classification are solved. The accuracy of the proposed method was verified by capacitor component samples. The accuracy rate was 98.95%, the emission rate was 0.12%, and the error rate was 0.93%. It can be seen that the method proposed in this paper has a good effect on the defect detection of electronic components with the capacitor as an example.
Key Technology and Application of Computer Artificial Intelligence Recognition Based on Machine Vision
Authors: Wang Lihua
Published: August 2021

Computer artificial intelligence technology simulates human thinking and consciousness vividly by using the existing functions of computers, and displays various human thinking through computer programs. Artificial intelligence recognition technology belongs to the key technology in the field of computer artificial intelligence. With the rising level of science and technology, this technology has developed rapidly and has been applied to many fields of society. Intelligent recognition technology is computer system, scanning equipment, camera technology, etc., which can intelligently recognize target instructions and data information, so as to meet the needs of intelligent recognition in the current era. In this paper, the problems faced in the application of computer artificial intelligence recognition technology are studied, and the key technologies of computer artificial intelligence recognition based on machine vision are analyzed, trying to find ways to make the application of computer artificial intelligence recognition technology get out of the bottleneck and remove obstacles to further promote the development of computer artificial intelligence technology.
Conceptual Design of Mechatronics System Based on Intelligent Control
Authors: Li Jinming , Liu Lining
Published: August 2021

With the development of society, the research on product concept design has become more and more mature, and the conceptual design of mechatronics system has gradually become the key research and design direction in the field of mechatronics. The rapid development of modern industrial production not only provides strong support for the application and popularization of mechatronics system, but also promotes the overall improvement of industrial production efficiency and quality. Electromechanical integration is a comprehensive mechanical system in essence. Because the traditional industrial control technology can no longer meet the requirements of industrial production on the function of mechatronics system. Intensify the research and application of intelligent control technology, minimize the impact of human factors on industrial production, and promote the effective improvement of the operation performance of mechatronics system. This paper analyzes the application of intelligent control in mechatronics system, and discusses the conceptual design method of mechatronics system based on intelligent control.
Research on Key Technologies of Robot for Visual Detection of Foreign Matter in Liquid Medicine Based on Machine Learning Algorithm
Authors: Liang Qilang
Published: August 2021

At present, in the pharmaceutical industry, people pay more and more attention to the quality of drugs, and therefore put forward higher requirements for the detection of drugs. In this paper, based on a large number of theories and experiments, an intelligent on-line detection system for visible foreign bodies in medicated liquor solution is designed based on machine learning algorithm. From the angle of mechanics and kinematics, the force analysis of moving objects in liquid after high-speed rotation and sudden stop is discussed, which provides an important reference standard for distinguishing visible foreign objects from random noise. The experimental results show that the algorithm can effectively eliminate the vibration interference of electromechanical system, and make the foreign body detection equipment of liquid medicine successfully migrate from single-station detection equipment to automatic online detection robot, which is of great significance to the research and development of the whole equipment.
Analysis and Synthesis of Human Motion Function Data Based on Decision Tree Classification
Authors: Li Ying
Published: August 2021

At present, motion capture is widely used in computer animation, games, movies and robots, but it is still a difficult problem to synthesize stylized human motion. To solve this problem, a motion synthesis method based on decision tree classification and block principal component analysis is proposed. Block principal component analysis is carried out on the motion data grouped according to the characteristics of human skeleton structure, and low-dimensional subspace parameters with specific semantics are obtained. Triangular constraint is used to block the connection between moving frames which are far apart, thus ensuring the time sequence continuity of segmentation results; In the retrieval process, the similarity of key points is calculated according to different influence degrees in turn; Finally, an efficient motion retrieval simulation system is realized.
An Intelligent Threshold Alarm Model Based on Abnormal Judgment of Logic Indicators
Authors: Huang Jianhua , Liu Xinlin
Published: August 2021

In order to improve the information sensitivity of power transmission and transformation environment, this paper establishes the threshold alarm model of condition monitoring data of power transmission and transformation equipment based on the abnormal judgment method of business logic index. This paper extracts the necessary alarm transaction of condition monitoring data of power transmission and transformation equipment. According to the extraction results, the specific data level of authority threshold is determined by means of data cleaning, and the smooth application of power transmission and transformation equipment condition monitoring data threshold alarm model is realized. The experimental results show that, compared with the local state processing model, the accuracy of directional electronic transfer is more than 75% and the threshold can reach the standard authority threshold level. The problem of low sensitivity of original power transmission and transformation information has been effectively solved.
Design and Implementation of Adaptive Speech Control Intelligent Conference Room Based on Intelligent Speech Technology
Authors: Yang Qiuyong , Wang Jianyong , Pan Yanghua
Published: August 2021

With the development of multimedia and network technology, more and more enterprises use network conference room system. This paper implements a multi-functional intelligent conference room system based on streaming media server. This system is developed on the basis of the prototype conference system. In addition to the functions of the traditional conference system, it can also access the video monitoring system and allow intelligent mobile terminals to join the conference room. The intelligent conference room sends management commands to the user through the interface to realize the management function of the voice conference room. At the same time, the video information can be exchanged through the video processing module. Finally, the mobile terminal video access and conference room video extrapolation function are realized. The experimental data show that the intelligent conference room can improve the recognition of conference information. This provides a reference for the design and implementation of adaptive speech control intelligent conference room.
Intelligent Conference Room System Model Based on Agent Driver
Authors: Jiang Jiang , Wang Jianyong , Zhang Xueliang
Published: August 2021

The traditional conference room system in the function realization is relatively single, more and more can not meet the growing needs of people. This paper designs and implements an intelligent conference room system based on agent driver. The intelligent conference room adds conference room management function. Add user rights, status management, information publishing and conference room locking functions to the prototype conference room system. At the same time, the system adds intelligent video playback function. Through red5 streaming media server and Xuggle Codec, the video information of different formats is converted into RTMP format information and sent to all clients. This realizes the video file sharing and playing function. The system also realizes the access function of holographic monitoring system. Through the cross search between the intelligent conference room system and the database of the monitoring system, the user can customize the camera list function. The system uses proxy server to realize the seamless connection between the intelligent conference room system and the monitoring system, so as to realize the access function of the monitoring system. The experimental data show that the intelligent conference room can improve the recognition of conference information. This provides a reference for the design and implementation of adaptive speech control intelligent conference room.
Development significance and structure analysis of sports video image analysis system based on VR
Authors: Chen Xianming
Published: August 2021

Modern science and technology is highly differentiated and concentrated, and has also entered a new stage of multidisciplinary comprehensive utilization. Especially, VR technology has played a great role in competitive sports training. Intelligent video analysis system is a key point of modern video development. With the development of computer technology and the gradual progress of video technology, intelligent video analysis system has broad development space. In this paper, a key algorithm SISA (Sports Image Segmentation Algorithm) is designed. The algorithm improves and optimizes the semantic segmentation algorithm by using hole convolution, pyramid pooling and trainable conditional random field structure, and uses key node detection algorithm to enhance the segmentation effect of small objects. The common methods to realize virtual human animation are manual marking, motion capture and automatic recognition. In order to reduce the workload of manual marking, avoid the high cost of motion capture and make up for the precision error of automatic recognition, it can be practically applied to the guidance of physical training.
Research on Information Security Risk Analysis and Prevention Technology of Network Communication Based on Cloud Computing Algorithm
Authors: Li Yonghong , Liu Ruifeng , Liu Xiaoyu , Li Hong , Sun Qingwen
Published: August 2021

Data communication network must use telephone, cable or optical fiber as transmission medium and computer as information receiving, output and communication tool. Customers can not only process the received information, but also realize information sharing through the network. With the wide application of network communication in daily life, network security issues have higher requirements. In order to solve the problems of subjectivity, long modeling time and low classification accuracy of information security risk assessment methods, this paper first proposes an intelligent information security risk assessment method based on decision tree. Compared with other classification algorithms such as support vector machine, the decision tree classification algorithm has no requirement for data category distribution, and has good classification effect and fast speed. Finally, this paper introduces the security measures in network data communication for reference only.
Research on Data Sharing of Water Conservancy Informatization Based on Data Mining and Cloud Computing
Authors: Li Daqian
Published: August 2021

The wide application of networking technology has brought great convenience to people’s daily life and promoted the development of international economy. The innovation of information technology has profoundly changed people’s traditional way of life. In water conservancy, water conservancy informatization is the foundation and important symbol of water conservancy modernization. As an important tool of information construction, data warehouse and data mining technology have unique advantages in dealing with massive data. Therefore, it is widely used in water conservancy industry with massive data. Combined with the application characteristics of data mining and cloud computing, this paper analyzes several key supporting technologies of water conservancy informatization data sharing. Through the analysis of the existing system integration and application mode, the preliminary design of the operation framework is put forward in theory, which provides reference and suggestions for the construction of water conservancy information data sharing.
Design of Electric Drive System of Electric Vehicle Based on CAN Bus
Authors: Wang Yingshun
Published: August 2021

At present, the transmission system of pure electric vehicle is a single engine transmission system, which has many similarities with the design of diesel locomotive. Because it has too many similarities with diesel locomotive design, its structure is relatively stable and it is easy to produce on the original production line. In this paper, the overall design, software and hardware design of electric drive system of electric vehicle based on CAN (Controller Area Network) bus are presented, and the system structure diagram, hardware circuit diagram and software program block diagram are drawn, and detailed explanation is given. At the same time, considering the harsh working environment and serious electromagnetic interference of the vehicle-mounted intelligent driving system, this paper also designs the anti-interference of the electric drive system of the electric vehicle to ensure the stable and reliable operation of the system.
Research on the Construction of University Computer Service Platform Based on Cloud Computing Technology
Authors: Wang Haiyan
Published: August 2021

Compared with the concept of campus network, the concept of digital campus is much richer in connotation, covering a wide range of contents, including not only the construction of hardware facilities and network systems, but also providing digital services for teaching and research, management, life services and other aspects. Traditional daily teaching and educational administration is mainly carried out by hand, which has disadvantages such as heavy workload and trivial things, and it is difficult to improve the management effect and level. The development of big data technology can more effectively guide teachers and students to learn independently. The cloud service teaching environment based on big data can not only monitor teachers’ teaching process, but also analyze students’ learning process and predict each student’s learning effect. This paper analyzes the problems existing in the traditional computer service environment, the common difficulties of working in different places, and the new situation faced by teaching organizations, and discusses the construction scheme of university information service platform based on cloud computing technology.
Research on Resource Allocation Technology of Cluster Virtual Cloud Based on SDN
Authors: Pang Shuanglong , Chen Xiaodan , Zeng Desheng , Pang Caijiao
Published: August 2021

The ever-expanding demand for cloud computing needs to build a large-scale data center. How to operate the data center efficiently is an urgent problem to be solved. Statistical reuse is a prominent feature in cloud computing, and the utilization of physical resources can be improved by using virtualization technology. The core technology of network virtualization is to decouple the virtual network based on software from the underlying network based on hardware, and the proposal of Software Defined Network (SDN) provides a practical solution to solve this problem. Cloud computing puts forward the highest goal of sharing resources in the whole Internet, makes full use of computing/storage resources to the maximum extent, and is an effective method to integrate high-performance computing resources of the whole society. This chapter describes the background and significance of virtual resource allocation in cloud computing environment, studies the cluster virtual cloud resource allocation technology based on SDN, and analyzes how to realize reasonable cloud computing resource allocation to ensure network performance.
Application of Distribution Automation Feeder Terminal in System Information Acquisition Technology and Communication Protocol
Authors: Feng Xiao , Huang Lvchao , Dong Tengfeio , Lv Dongdong
Published: August 2021

The use of advanced technology to realize automatic power distribution is an important technical tool to improve power supply reliability. Feeder automation is the key content of the realization of distribution automation, and it is also the most important link to solve the power quality and reliability of the distribution network. This article mainly studies the information acquisition technology and communication protocol based on the feeder terminal of distribution automation. In order to solve the problems of low data transmission efficiency, single function and improper technological progress in the early power distribution system, the operation requirements of the power distribution system were analyzed, and a new type of feeder automatic power distribution system was proposed. Aiming at the contradiction of the existing system communication protocol and the incompatibility of various manufacturers’ products, this article proposes an efficient, reliable, and universal communication protocol, which is formulated on the basis of IEC60870-5-104 and is suitable for use in the main data transmission between stations and terminals. This article develops a local communication protocol for error correction, and conducts various tests in the information collection terminal. The test research results show that the basic errors of current, active power and reactive power are all in the range of [-0.2%, 0.2%], and the variation of voltage, current and active power are all in the range of [-1%, 1%], it shows that the distribution automation feeder terminal meets the system’s technical requirements for the accuracy and speed of the terminal’s data collection and has strong anti-interference ability.