Reviewerly/exHarmony huggingface dataset:
Research on tennis video target tracking based on visual analysis

With the advent of the era of artificial intelligence, great changes have taken place in the traditional broadcasting of sports games. As early as the early 20th century, the Hawkeye system appeared in tennis as a referee aid. However, there is currently no technology that can perform semantic analysis of live video of tennis matches. In the field of machine vision, target tracking is one of the most basic and important branches. It includes image processing, machine learning, pattern recognition and other aspects. It is a research direction involving a very wide range of fields. The complexity of the environment where the moving objects are located and the uncertainty of the moving objects themselves bring great challenges to the detection and tracking of moving objects. Traditional detection and tracking methods based on manual feature extraction have poor generalization ability and can not meet the needs of target detection and tracking in complex moving scenes. By estimating the two-dimensional posture of the players in the player area, analyzing their body skeleton and key information, the analysis of the players' movement types is completed. At the same time, according to the displacement information of key points of athletes' bodies and the running time of the system, the movement distance and speed of athletes can be obtained.
Design of cloud computing data center security system based on Virtualization environment

In order to improve the security of cloud computing data center in the virtualized environment, a security system design of cloud computing data center is proposed based on the virtualization environment. Firstly, the security architecture of cloud computing data center is constructed, and the security of data center is evaluated. By optimizing the system equipment structure and operation steps, the security performance of cloud computing data center can be improved. The experimental results show that the design method of cloud computing data center security architecture based on Virtualization environment has high precision, good practical effect and fully meets the research requirements.
Improved model for knowledge representation: TransMR

Knowledge graphs have developed rapidly in recent years, and knowledge representation learning is a fundamental task of knowledge graphs, so knowledge representation learning has likewise received widespread attention. Therefore, a series of knowledge representation models based on TransE methods have been proposed by scholars one after another, among which, the translation model TransE has low model complexity, high computational efficiency, and strong semantic representation ability for knowledge representation of triples. However, the TransE method cannot handle dealing with complex relations. In view of this, this paper proposes an improved knowledge representation model TransMR based on the TransE method, which uses the Marxian distance instead of Euclidean distance to calculate the distance between vectors, and builds entity and relationship models in entity space and relationship space respectively, in which the back propagation and nonlinear operation of single layer neural network are used to enhance the semantic connection between them. Meanwhile, during the model training process, experiments are conducted to improve the fault tolerance of negative example triples by using substitution for the most similar entities.
Wonderful Video Editing System based on DSP Real-time Video Color Space Conversion Algorithm

research-article Wonderful Video Editing System based on DSP Real-time Video Color Space Conversion Algorithm Author: Cong Hu Hankou University, China Hankou University, ChinaView Profile Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 1026–1029https://doi.org/10.1145/3544109.3544403Published:18 July 2022Publication History 0citation7DownloadsMetricsTotal Citations0Total Downloads7Last 12 Months7Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Key technology research on the implementation of computer network security defense system

research-article Key technology research on the implementation of computer network security defense system Author: Lijuan Zhou Tianjin University of Technology, China Tianjin University of Technology, ChinaView Profile Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 658–661https://doi.org/10.1145/3544109.3544329Published:18 July 2022Publication History 0citation22DownloadsMetricsTotal Citations0Total Downloads22Last 12 Months22Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Research on AGV Route Planning Based on Improved Artificial Potential Field Algorithm

For solving the problem that the traditional artificial potential field Algorithm is easy to fall into local minimum and the objective cannot reach when solving AGV route planning, an improved artificial potential field algorithm is proposed based on the traditional artificial potential field algorithm. Focusing on the local minimum problem, a right-turn potential energy method is proposed to make the AGV escape from the local minimum point by deflecting the direction of the repulsion component to the right. Focusing on the problem of unreachable objective, a virtual objective point method is proposed. By temporarily shielding the repulsion and gravity of obstacles and objective points to the vehicle, the vehicle moves towards the gravity of the virtual objective point, so that the AGV can continue to move towards the objective point. Finally, the simulation experiment is carried out on MATLAB software. The experimental results show that under the experimental conditions of different obstacles, the improved algorithm successfully makes the vehicle bypass the local minimum point and reach the objective point successfully. At the same time, the route smoothness is good, and the expected route planning effect is achieved.
Facial animation generation of virtual human based on directional filtering

In order to improve the automatic generation ability of virtual character facial animation, a method of virtual character facial animation generation based on directional filtering is proposed. The multi-target tracking technology is adopted to track the details of each frame of the facial expression animation of the virtual character through the prediction and update of the Sobel filter in the directional filtering algorithm. On this basis, the animation details of the facial expression of the virtual character are extracted, and the facial image of the virtual character is segmented, and the region threshold is calculated. Finally, multi angle facial expression feature map is fused to generate facial expression animation of virtual characters. The experimental results show that the proposed method has a good effect on facial animation of virtual characters, and the accuracy of facial expression feature recognition is high.
Construction and Architecture Design of Smart City Database

This paper puts forward a design idea of the database construction framework of the information platform based on the smart city, and designs the information database platform of the smart city according to the requirements and goals of the database platform construction, including data acquisition system, data processing system. In the data acquisition system, the hardware of network coverage and selection front-end are designed. In the data processing system, the data center structure, database selection and system structure are analyzed. The data design detailed function of the smart city information platform is analyzed, which is applied to the actual smart city scenic spot case, the construction and display effect of the database structure of the smart city information platform is analyzed, and the urban soft culture charm is promoted, to provide the foundation of digital resource guarantee for the development of urban history and culture. It includes intelligent city Culture Resource Data Center, GIS support system, command and dispatch center, providing intelligent management, service and marketing, realizing the exchange and integration of system platform data.
Construction of Enterprise Operation Simulation System Platform based on Service Oriented Architecture

research-article Construction of Enterprise Operation Simulation System Platform based on Service Oriented Architecture Author: Meisheng Ke Wuhan Business University, China Wuhan Business University, ChinaSearch about this author Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 955–959https://doi.org/10.1145/3544109.3544389Published:18 July 2022Publication History 0citation23DownloadsMetricsTotal Citations0Total Downloads23Last 12 Months23Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Maneuver Flight Partitioning Based on Important Segments in Multivariate Flight Parameters

Noise, deviation and correction will result in the degradation of the integrity and accuracy of maneuvering flight partition in training flights. A bottom-up, unitary to multivariate method is proposed for maneuver flight partitioning based on important segments (ISs). Given a threshold of the continuous change of the characteristic parameter, the IS is defined as the alternative set of maneuver flight segments. Then, the adjacent ISs with same change direction and the important correction segments are combined to form a maneuver flight segments sequence for unary flight parameter. Finally, according to the important order of characteristic parameters, the maneuvering flight sequences of multivariate flight parameters are merged and fused to realize the division of maneuver flight sequence. The experimental results show that the method can extract the maneuver flight fragments completely, and the average time errors of the manipulating start and stop points are less than 2.5 seconds.
Research on Sports News Video Retrieval Based on Feature Extraction Algorithm

research-article Research on Sports News Video Retrieval Based on Feature Extraction Algorithm Author: Wenlong Cheng Jiangxi Vocational Technical College of Industry & Trade, China Jiangxi Vocational Technical College of Industry & Trade, ChinaView Profile Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 853–856https://doi.org/10.1145/3544109.3544367Published:18 July 2022Publication History 0citation15DownloadsMetricsTotal Citations0Total Downloads15Last 12 Months15Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
On-line Diagnosis of Secondary System Defective Equipment Based on Association Rules and Improved D-S Evidence Theory

At present, the defective equipment of the secondary system mainly relies on manual diagnosis, and the diagnosis efficiency and accuracy are low due to the limitation of the technical level of the personnel. This paper proposes an on-line diagnosis method for defective equipment in secondary systems based on association rules and improved D-S evidence theory. The association rules based on Apriori algorithm are used to classify the operation and maintenance data of the secondary system, and the abnormal information of secondary system operation is used as the evidence source. , and input it into the defect diagnosis method based on the improved D-S evidence theory to complete the online diagnosis of the defective equipment in the secondary system. It solves the problems of large amount of data in secondary system operation and maintenance, many causes of defects, and inaccurate defect identification.
Research on Speaker Recognition Technology Based on Feature Model

Speaker recognition, also known as voiceprint recognition, as the name implies, is to identify "who is speaking" by sound, and is a biometric identification technology that identifies the speaker's identity based on the speaker's personality information in the voice signal. In this paper, through a survey of speaker recognition literature and related technologies, the two main tasks of speaker recognition, speaker confirmation and speaker recognition, are introduced, and some models in the development of speaker recognition technology are introduced. From the early Gaussian Mixture Model-Universal Background Model, to Joint Factor Analysis and I-vector model, to the emergence of various new feature models combined with deep learning, the recognition effect is getting better and better. Recognizable scenarios are also becoming more complex. Finally, the speaker recognition technology is summarized and its future research is prospected.
Intelligent Route Planning Algorithm based on Genetic Neural Network

With the development of modern industry towards large-scale and integration, the production process is becoming more and more complex. The process is seriously nonlinear, time-varying, uncertain and the strong combination of variables, which makes many systems lack accurate mathematical description and difficult to analyze and control with traditional theoretical methods. Therefore, it is necessary to study new intelligent control strategies. Real-time and efficient solution of the optimal path in a large-scale road network is a research difficulty in the field of dynamic path induction. During path planning, the robot's own sensors are required to continuously collect and analyze environmental data, so that the robot can find the target point and update it continuously path. Aiming at the shortcomings of the basic GA, such as low efficiency, when calculating the optimization problems of large-scale networks. In this paper, an intelligent route planning algorithm based on genetic neural network is proposed. The environmental information is obtained by five sensors loaded on the front end. The obtained obstacle, pose and target information are used as the input of neural network, and then the weights of neural network are trained and adjusted by GA. Finally, the output of neural network after training and adjustment is used as the driving control force of robot. On this basis, referring to some conclusions of fixture verification, the stability and deformation characteristics of the workpiece are simulated through some parameters, and the GA is used for combinatorial optimization to determine the optimal positioning point. The algorithm proposed in this paper has the advantages of simple calculation and fast convergence, can avoid some local extremum, and the planned collision free path reaches the shortest collision free path. Finally, through the experimental simulation of the algorithm, the results show that the proposed intelligent route planning algorithm based on genetic neural network is correct and effective. In addition, the real-time performance and rapidity are better than the basic GA, and the balance problem of solving efficiency and solving quality in large-scale road network is also solved.
Research Review of Cloud Computing Technology Based on Big Data

research-article Research Review of Cloud Computing Technology Based on Big Data Author: Bo Li Zhongyuan University of Technology, China Zhongyuan University of Technology, ChinaView Profile Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 198–201https://doi.org/10.1145/3544109.3544145Published:18 July 2022Publication History 0citation47DownloadsMetricsTotal Citations0Total Downloads47Last 12 Months47Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Intelligent Information Recommendation Algorithm based on Collaborative Filtering

research-article Intelligent Information Recommendation Algorithm based on Collaborative Filtering Author: Dan Sheng Wuhan Qingchuan University, China Wuhan Qingchuan University, ChinaView Profile Authors Info & Claims IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and ComputersApril 2022Pages 960–966https://doi.org/10.1145/3544109.3544390Published:18 July 2022Publication History 0citation9DownloadsMetricsTotal Citations0Total Downloads9Last 12 Months9Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Research on Text Generation Techniques Combining Machine Learning and Deep Learning

Natural language generation (NLG) is a part of natural language processing (NLP), the main purpose of which is to build a natural language text generation system capable of generating human-understandable languages such as Chinese and English through artificial intelligence and linguistic methods. The emergence of NLG has lowered the threshold of human-computer interaction, and the technology can evaluate, analyze, and convey data on a large scale and accurately, and is widely used in chatbots, automatic news writing, and business intelligence (BI) interpretation and report generation, which has become one of the hot spots in artificial intelligence research. This paper first introduces the current mainstream methods and models of NLG and compares the advantages and disadvantages of these methods and models. Next, from the three directions of text-to-text generation, data-to-text generation, and multimodal-to-text generation, the current NLG research situation and progress in different fields, and then introduce the commonly used text evaluation methods in these directions, and finally give an outlook on the current development trend of NLG.
Optimal Control and Image Processing Method based on Domain Decomposition Parallel Computing

High-performance scientific computing has become the core competitiveness of a country. Using advanced computing power to understand and solve complex scientific engineering problems. However, due to the lack of optical equipment, these understandings and records are relatively rough. With the development of technology, human beings have invented observation tools, which makes people's understanding and transformation of the world on the fast track. Effective solution on parallel computers: Many classical and modern disciplines or projects are related to the basic problem of system parameter determination. For a controlled system, find an optimal control scheme from the existing control schemes, so that the target performance index value can reach the optimal value. Thereby destroying the geometric structure of the image. This contradiction is especially obvious when the noise interference in the image is large. Theoretically, the larger the aperture of the telescope, the more incident light, and the higher the imaging resolution. Therefore, increasing the aperture of the telescope became the mainstream development direction of the telescope at that time. It is a lighting control equipment that uses photosensitive and infrared sensors to detect the light environment and single chip microcomputer to make decision and control. Although this method has simple structure, it still has the defects of single function, high misjudgment rate and unable to control according to the actual situation. However, with the increase of the scale of the problem, how to propose high-resolution, real-time response numerical algorithm has become a more urgent need. The image with large noise interference can also achieve good results in denoising, and has better filtering performance than the standard median filter, which provides an effective way to eliminate impulse noise in the image. This paper mainly aims at this problem, which has a large number of applications in the field of image processing and domain decomposition computing. Therefore, how to efficiently and optimally control the image processing method of parallel computing.
Shadow-Free Extraction of Motion Targets Using Vibe Algorithm and Laplace-Gause Operator

In order to solve the shadowing problem in the process of dynamic target detection, this paper adopts the idea of integrating the Vibe algorithm with the edge detection operator, which not only improves the shadowing problem to a certain extent, but also enhances the robustness of detection. First, a background model is created for each pixel in the initial frame, and the model is initialized based on the pixel values. Secondly, the Laplace operator is used to extract the edges of the Gaussian filtered noise-reduced image, and then the extracted results are fused with the foreground target obtained by vibe. Finally, the morphological filling process is applied to the fused image. The result reveals that the strategy can effectively improve the shadowing problem during dynamic detection, significantly enhance the accuracy and reduce the false detection rate.
Research on the application of enterprise portal integration technology

In view of the business needs and construction status of system applycation and integration of manufacturing enterprises, this paper proposes a solution for digital workshop data bus application based on message middleware. Through the research and implementation application of data bus technology in enterprise portal integration, product design, manufacturing, production and other related application systems are integrated with business, data and applications, and a collaborative management platform with information and data sharing and smooth business processes is built for manufacturing enterprises.