J. Sensors最新文献

{"title":"3D Simulation Landscape Design Based on Image Sensor","authors":"Yao Lu, Bingyan Chen, Yan Xing, Yang Geon Seok","doi":"10.1155/2022/1577945","DOIUrl":"https://doi.org/10.1155/2022/1577945","url":null,"abstract":"In order to solve the problem of heavy workload of landscape plant modeling, the lack of efficient auxiliary or automatic methods for establishing three-dimensional models for various landscape plants, and the general three-dimensional models of landscape plants which cannot reflect the natural growth of plants and the interaction between the environment, this paper proposes a method of three-dimensional simulation of landscape design based on image sensors. This method includes the construction of three-dimensional image simulation landscape feature analysis function and rationality judgment model, so as to provide theoretical support for landscape design. The experimental results show that the matching number and matching rate of landscape feature points obtained by the traditional deep evaluation method are lower than those obtained by the 3D image simulation method used in this paper, and the steps of image feature points matching are relatively simple. With the gradual expansion of the scope, the accuracy of the three-dimensional image simulation judgment method used in this paper is gradually improved, up to 89%, while the traditional method is always maintained at about 40%. Conclusion. The 3D simulation landscape design method based on image sensor has higher accuracy and wider application prospect.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85111218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applied Logic in the Age of Big Data: The Evolution of Linguistic Programming and Decoding in Psychological Trend Analysis","authors":"Liang Lang","doi":"10.1155/2022/4915539","DOIUrl":"https://doi.org/10.1155/2022/4915539","url":null,"abstract":"Mental health quality is closely related to individual mental health level. High mental health quality can help high school students deal with mental illness in time, actively seek help from others, and improve their stigmatized abnormal beliefs, so as to improve their overall mental health level. The party and the government pay more and more attention to the shaping of everyone’s proactive social psychology, which has been widely concerned in modern society. Therefore, this article scientifically studies the applied logic of the information age: the evolution of language programming and decryption in the trend of psychological change. SQL Server data management system, Oracle big data statistical analysis and research ideas, ACSI mental health evaluation index system, and language expression encoding and decoding method were used to measure the mental health of Chinese teenagers and children, and the relevant measurement conclusions were compared. The results show that the accuracy of language programming is higher than that of traditional mental health measurement. Finally, the paper discusses the scientific research of mental health, puts forward corresponding proposals, and finally prospects the future of the exploration of the ways of mental health cultural education.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"87 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74949894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wireless Play Music Beep Sensor to Assist in Music Fountain Control","authors":"Qian Wang","doi":"10.1155/2022/7163937","DOIUrl":"https://doi.org/10.1155/2022/7163937","url":null,"abstract":"Musical water landscape combines landscape design with audiovisual art and is loved by the general public. However, the performance control form of musical water landscape generally adopts the manual offline preprogramming method, which needs to use the human subject’s consciousness to perceive the style, emotion, and other advanced features of the music first and then choreographs the corresponding landscape performance, which is a high-cost design form and low usage rate of the landscape and is not conducive to the expansion of the music library. In this paper, we design and implement a musical water landscape simulation system using OpenGL and 3Dmax technology in combination with wireless music buzzer sensors, extract and analyze the music features based on this system, and study the system control of musical water landscape. Open GL particle system technology is used to realize the dynamic simulation of weather and fountain inside the landscape and improve the drawing scheme from both modeling and rendering aspects. For the fountain, the physical model and the wireless music beep sensor are combined to design a variety of water type actions for a single spout, and the parameter interface to control the water type changes is reserved. We propose a style recognition method based on CRNN and residual network, which has a higher accuracy rate compared with the existing methods; we use the DP algorithm to segment the pitch sequence of the music to reduce the redundancy of information and improve the calculation speed of the system.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"29 22 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88032947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Transmission and Processing Analysis of Power Economic Management Terminal Based on the Internet of Things","authors":"Hao Tang","doi":"10.1155/2022/2649993","DOIUrl":"https://doi.org/10.1155/2022/2649993","url":null,"abstract":"In order to explore how the power economy can realize the data transmission and processing of the management terminal, this paper presents a data transmission and processing analysis of the power economy management terminal based on the Internet of Things. This method explores the research on how to realize the data transmission and processing of management terminal in power economy through the key technical problems and solutions of information recommendation based on the Internet of Things. The research shows that the efficiency of data transmission and processing analysis of power economic management terminal based on the Internet of Things is about 65% higher than that of traditional data analysis. Improve the overall quality of employees in power enterprises and inject new vitality into the development of power economy.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"18 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82999600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Locating Defects and Image Preprocessing: Deep Learning in Automated Tobacco Production","authors":"Wei Wang, Lianlian Zhang, J. Wang, Zaiyun Long","doi":"10.1155/2022/6797207","DOIUrl":"https://doi.org/10.1155/2022/6797207","url":null,"abstract":"Deep learning is an emerging discipline developed in recent years, which is aimed at investigating how to actively obtain multiple feature representations from data samples, rely on data-driven methods, and apply a series of nonlinear transformations to obtain reliable research results. Combined with today’s development dynamics, the traditional way of cigarette production can no longer adapt to the current rate of economic development. Therefore, cigarette companies must achieve their own rapid and stable development through automation and automated management techniques for production and operation. In this paper, in the context of the research on deep learning and tobacco automation production, we focus on the application in tobacco automation production based on the management theory related to deep learning and the research method of deep convolutional neural network, mainly analyzing the application of distributed control system, production command system, logistics system, and quality control system in tobacco automation system, and conclude that the automated production system plays a role in tobacco production strengthen management and command, circumvent quality problems, save costs, and other conclusions, which hopefully have some reference.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"37 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90115159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BRFP: An Efficient and Universal Sentence Embedding Learning Model Method Supporting Fused Syntax Combined with Graph Embedding Representation Algorithm","authors":"Zhifeng Li, Wen-Wang Wu, Chunlei Shen","doi":"10.1155/2022/7471408","DOIUrl":"https://doi.org/10.1155/2022/7471408","url":null,"abstract":"Due to the rapidly growing volume of data on the Internet, the methods of efficiently and accurately processing massive text information have been the focus of research. In natural language processing theory, sentence embedding representation is an important method. This paper proposes a new sentence embedding learning model called BRFP (Factorization Process with Bidirectional Restraints) that fuses syntactic information, uses matrix decomposition to learn syntactic information, and fuses and calculates with word vectors to obtain the embedded representation of sentences. In the experimental chapter, text similarity experiments are conducted to verify the rationality and effectiveness of the model and analyzed experimental results on Chinese and English texts with the current mainstream learning methods, and potential improvement directions are summarized. The experimental results on Chinese and English datasets, including STS, AFQMC, and LCQMC, show that the model proposed in this paper outperforms the CNN method in terms of accuracy and F1 value by 7.6% and 4.8. The comparison experiment with the word vector weighted model shows that when the sentence length is longer, or the corresponding syntactic structure is complex, the model’s advantages in this paper are more prominent than TF-IDF and SIF methods. Compared with the TF-IDF method, the effect improved by 14.4%. Compared with the SIF method, it has a maximum advantage of 7.9%, and the overall improvement in each comparative experimental task is between 4 and 6 percentage points. In the neural network model comparison experiment, the model in this paper compared the CNN, RNN, LSTM, ST, QT, and InferSent models, and the effect significantly improved on the 14’OnWN, 14’Tweet-news, and 15’Ans.-forum datasets. For example, in the 14’OnWN dataset, the BRFP method has a 10.9% improvement over the ST method. The 14’Tweet-news dataset has a 22.9% advantage over the LSTM method, and the 15’Ans.-forum dataset has a 24.07% improvement over the RNN method. The article also demonstrates the generality of the model, proving that the model proposed in this paper is also a universal learning framework.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"03 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86284718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization Strategy Analysis of Intelligent Product Service System Based on Computer Simulation Technology","authors":"Han Liu, Yanlong Chu, Yongcheng Wang, Z. Ren","doi":"10.1155/2022/1264655","DOIUrl":"https://doi.org/10.1155/2022/1264655","url":null,"abstract":"In order to solve the needs of a large number of users and the efficiency of user service requirements, an optimization strategy analysis method of intelligent product service system based on computer simulation technology is proposed. Aiming at the two challenges of massive requests and efficient service in the network intelligent service system, the characteristics of the network intelligent service system are analyzed, and the network intelligent service system is formally modeled as an agent system. The performance modeling, performance evaluation, and performance optimization methods of the network intelligent service system are proposed. In order to solve this massive demand, the performance modeling of the network intelligent service system is carried out based on queuing theory. This paper proposes a task assignment algorithm for the network intelligent service system. Through the application of these results, the processing efficiency of the entire medical insurance application system has been greatly improved, and the average completion time of all businesses has been shortened by 59%, providing new ideas for optimizing service methods and improving service quality.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"30 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85873368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of Tourism Area Capacity Early Warning System Based on Internet of Things Technology","authors":"Yanli Ma","doi":"10.1155/2022/8249032","DOIUrl":"https://doi.org/10.1155/2022/8249032","url":null,"abstract":"In order to make up for the shortage of smart tourism construction highlighted by public tourism safety accidents due to the bearing capacity of scenic spots, this paper proposes a tourism area capacity early warning system based on the Internet of Things technology. By combining the main characteristics of a park and a place, this paper determines the composition of its tourism capacity and the corresponding calculation methods. At the same time, in order to control the number of tourists in peak hours within a reasonable range, the peak constraint method is proposed to improve the traditional algorithm of daily space capacity; then this paper calculates the tourism capacity of a park and a place by combining the relevant data obtained by investigation and observation methods. The experimental results show that according to the given number, the instantaneous tourism capacity of a park can be accurately calculated as 11841 person times/day and the daily tourism capacity as 21313 person times/day. The instantaneous tourism capacity of a certain place is 1066 person times/day, and the daily tourism capacity is 9594 person times/day. The construction of the early warning system of the tourism area based on the Internet of Things can effectively solve the problems such as public tourism safety accidents caused by the problem of carrying capacity. It will play an important role in the customized services of tourists, the innovation of scenic spot business processes, and the integration of tourism enterprise resources and provide data support for the early warning system.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"31 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84986959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology","authors":"Jianfeng Cao, Yunfei Dai, Liqiang Hu, Yiju Liang, Yuan Liu, Bo Yang","doi":"10.1155/2022/3531576","DOIUrl":"https://doi.org/10.1155/2022/3531576","url":null,"abstract":"In order to solve the problems of high risk and low efficiency of the traditional rock mass structure logging method of open-pit mine slope, this paper proposes a method to improve the geological logging of traditional open-pit mine slope by using UAV tilt photography technology. Taking the slope of an open-pit quarry as an example, this method expounds the application method and work flow of UAV photography technology in geological logging. The experimental results show that the maximum and minimum absolute errors in the \u0000 \u0000 X\u0000  \u0000 \u0000 direction of UAV test are 5.1 cm and 1.1 cm, respectively; MAE value is 2.90 cm; and RMSE value is 3.17 cm. The maximum and minimum absolute errors in \u0000 \u0000 Y\u0000  \u0000 \u0000 direction are 3.3 cm and 0.9CM, respectively; MAE value is 2.36 cm; and RMSE value is 2.498 cm. Vertical error refers to the error in elevation. The maximum and minimum absolute errors in \u0000 \u0000 Z\u0000 \u0000 direction are 9.6 cm and 5.7 cm, respectively; MAE value is 7.44 cm; and RMSE value is 7.54 cm. Conclusion. The reliability of this technology is verified by comparing the occurrence measured by compass and that calculated by point cloud. On this basis, the dominant occurrence of structural plane is divided, which provides basic data support for the analysis of mine slope stability.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"24 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89006358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Integration of Rasch Model and English Classroom: Language Teaching Development under Information Technology","authors":"Jinyan Yan","doi":"10.1155/2022/3744678","DOIUrl":"https://doi.org/10.1155/2022/3744678","url":null,"abstract":"The informatization of education is an important part of the industrialized informatization of our country and an inevitable path for the development of contemporary education. The development of informatization as well as industrialization is driving the changes of the times and the continuous innovation of people’s way of thinking, living habits, and educational methods. The continuous innovation of computer technology and the widespread use and popularization of various classroom methods of English teaching have led to the continuous optimization and upgrading of English teaching at the higher education level in China. However, with the rapid spread of university education and the varying levels of English teaching in higher education institutions, there are a series of problems that need to be solved in the process of transformation of information technology teaching. Therefore, this paper examines the deep integration of the Rasch model and the English classroom from a practical context: language teaching development under information technology. Through an in-depth discussion of theories such as language teaching and information technology development, the development of language teaching in China’s English classrooms is studied using the Rasch model analysis method. It is concluded that our teachers’ English teaching methods are relatively backward, not sufficiently matched with the current needs of our students, and the teaching methods are relatively homogeneous. And based on the problems, it is proposed that firstly, educators should have objective information literacy and orientation criteria; secondly, high-quality and content-rich English training units should be developed to facilitate implementation; and finally, suggestions are made to promote the development of information materials in the context of teaching practice.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"16 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76475756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}