{"title":"Design of Tibetan-Chinese Bilingual Garbage Recycling System Based on Interaction Design","authors":"","doi":"10.23977/acss.2023.070805","DOIUrl":"https://doi.org/10.23977/acss.2023.070805","url":null,"abstract":"In order to strengthen the promotion of the concept of garbage classification in Tibetan areas, to solve the environmental problems such as low efficiency of garbage classification and poor accuracy of garbage delivery in Tibetan areas. This paper first analyzes the status quo of garbage classification in Tibetan areas, the popularity of Mandarin residents in Tibetan areas, and the main population of garbage classification, and determines the feasibility of the project. Secondly, through the design of hardware system, software system and interactive system, the whole system framework is built. Finally, on this basis, a non-contact Tibetan and Chinese bilingual intelligent trash can is formed by establishing the hardware and corpus. The design provides help to improve the environmental awareness of Tibetan residents, accelerate the promotion of garbage classification, and popularize the basic knowledge of garbage classification.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207959","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":"Study on Cyberspace Governance in the Perspective of Digital Revolution","authors":"","doi":"10.23977/acss.2023.070901","DOIUrl":"https://doi.org/10.23977/acss.2023.070901","url":null,"abstract":"The mature development of online media has had a significant impact on the online space and real society. The great release of communication power and discourse power has shaped a decentralized communication pattern, bringing about complex phenomena in content generation and information dissemination. It has also brought real challenges and difficulties to the governance of the online space and society. This article focuses on the development and application of online space governance, starting from the source of public opinion guidance and management. It explores and analyzes the top-level design of the current online space governance mechanism, government-led management, platform main body responsibility, and self-organizing operation norms, and summarizes a comprehensive understanding of China's online space governance mechanism.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135318497","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":"Study on Flight Attitude Control of Four-rotor UAV","authors":"","doi":"10.23977/acss.2023.070904","DOIUrl":"https://doi.org/10.23977/acss.2023.070904","url":null,"abstract":"Four-rotor UAV is a type of small aircraft. Because of its flexibility, stability, good maneuverability and other characteristics, it can be widely used in various fields. Attitude control of four-rotor UAV is a core technology in the field of UAVs, which is worth studying. In this paper, previous research progress in the field of attitude control of four-rotor UAV is reviewed. The main control methods can be divided into linear control, nonlinear control and intelligent control. In this paper, PID control, sliding mode control, backward step control, intelligent control, neural network control and fuzzy control are introduced in detail, and the characteristics, advantages, disadvantages and research status of these different attitude control technologies are summarized and analyzed. Relevant references show that the focus of researches in resent five years is to combine a variety of control technologies, improve the traditional control technology to obtain better control effects, and use MATLAB/Simulink simulation to draw conclusions. Then, the research on attitude stability control technology of four-rotor UAV in response to adverse weather environment is analyzed, and some future research directions are proposed, including but not limited to establishing a reasonable environmental disturbance model, improving UAV dynamics model in wind field environment, developing fault-tolerant control technology and reducing the delay of system response.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135450495","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":"Multi-modal Feature Fusion 3D Object Detection","authors":"","doi":"10.23977/acss.2023.070812","DOIUrl":"https://doi.org/10.23977/acss.2023.070812","url":null,"abstract":"For the existing 3D small object detection is prone to false detection and missed detection and other deficiencies. A 3D object detection method based on multi-modal feature fusion is proposed. Firstly, a feature extraction module is designed. The input image data is down-sampled through the image feature extraction network, and the input point cloud data is sampled and grouped through the point cloud feature extraction network to obtain the feature information at different scales. Secondly, a multi-modal feature fusion module is constructed to realize the point correspondence between point cloud features and image features by projection operation, and then the image features and point cloud features are splicing and fused to generate the final point cloud features to compensate the deficiency of single modal feature information. The experimental results show that compared with the existing algorithms, the algorithm in this paper improves the average detection accuracy of small object by 2.03%.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135104769","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":"Computer Intelligent Proofreading System of Translation Model Based on Improved GLR Algorithm","authors":"","doi":"10.23977/acss.2023.070906","DOIUrl":"https://doi.org/10.23977/acss.2023.070906","url":null,"abstract":"The intelligentization of translation computers refers to the use of modern computer science technology, network information technology and information processing theory to analyze and recognize massive texts and apply them to the translation process. This article intends to use the improved GLR algorithm to study the computerized intelligent proofreading system of translation models, and its purpose is to improve the translation accuracy of the computer-aided system. This article mainly uses experimental and comparative methods to test and study the computerized intelligent proofreading system for the translation model of the improved GLR algorithm. Experimental results show that the improved GLR algorithm machine translation's recognition accuracy rate can reach 95%. For this reason, the computer intelligent proofreading system can use the improved GLR algorithm to improve the accuracy of the system.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135562182","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":"Composition analysis of ancient glass products based on logistic regression and principal component analysis","authors":"","doi":"10.23977/acss.2023.070612","DOIUrl":"https://doi.org/10.23977/acss.2023.070612","url":null,"abstract":"In order to analyze and study the composition of ancient glass products, this paper preprocessed the data and carried out statistical analysis of charts to qualitatively analyze the relationship between weathering and color, type and pattern of cultural relics, and established a Logistic regression model for quantitative analysis. There are four types of cultural relics according to the type of cultural relics and whether they are weathered. Through the evaluation model of principal component analysis, the statistical law of weathering and chemical composition content of excavated glass cultural relics is calculated according to the corresponding comprehensive score range of each kind. A multiple linear regression model was established to predict the pre-weathering component content. The correlation and difference between the chemical components of different kinds of glass relics were analyzed. The correlation coefficients of high potassium glass and lead barium glass were analyzed respectively, and the correlation coefficient heat maps were drawn. Determine the relationship between the chemical components and the differences between different chemical components.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496747","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":"Study on Sensitivity of Plunger Characteristic Parameters to Gas Well Production","authors":"","doi":"10.23977/acss.2023.070702","DOIUrl":"https://doi.org/10.23977/acss.2023.070702","url":null,"abstract":"Plunger dewatering gas extraction is a technology primarily used for low-yield natural gas collection. To maximize the efficiency of plunger dewatering gas extraction, optimization design is necessary. This study is based on the principles of plunger lifting dewatering gas extraction. By calculating the distribution of fluid and pressure in the wellbore during the plunger's upward movement at startup, as it reaches the wellhead, and during well shut-in, the interconversion relationship between plunger upward liquid discharge, self-jet flow, and well shut-in pressure recovery processes is analyzed. An optimization algorithm for plunger design is developed. When calculating the impact of plunger characteristic parameters on gas well production, the study considers the effect of gas compressibility factor varying with temperature and pressure, which makes the research results more realistic. The findings of this study contribute to optimizing the process parameters of plunger dewatering gas extraction and enhancing gas well production.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498078","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":"Application of XGBoost Model in the Field of Diabetes Prediction","authors":"","doi":"10.23977/acss.2023.070804","DOIUrl":"https://doi.org/10.23977/acss.2023.070804","url":null,"abstract":"Diabetes is a metabolic disorder that threatens people's health, and standardized screening is an important way to diagnose and treat it early. It is low cost and high efficiency to screen through data, therefore, to predict diabetes early has become crucial. Diabetics were taken as the research subject in this paper, and XGBoost algorithm was used to process the patient's data from physical examination, so a model for predicting diabetes was established to predict the blood glucose level of patients and to explore the application of XGBoost model in the field of diabetes prediction. The experimental results have been shown that the mean square error of the sample using this model has been just 0.0598, and it have been verified that the prediction error of the model is small and the accuracy is high, which will soon provide a good means for the pre-screening and clinical prediction of diabetes.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136208393","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":"Analysis of the best trading strategies based on neural networks","authors":"","doi":"10.23977/acss.2023.070701","DOIUrl":"https://doi.org/10.23977/acss.2023.070701","url":null,"abstract":": This article build a prediction model based on the historical trading volume of gold and Bitcoin, then establish an investment return maximization model to maximize the return amount, and finally propose a feasible trading strategy to traders based on the model results. First, this article will process the data visualization after missing values to analyze the trend of bitcoin and gold trading volume, yield, risk and volatility respectively. Second, This article combine the ARIMA model and the LSTM model to establish an ensemble learning model, and use the critic method to combine the two series of predictions with appropriate weights to predict the asset price of gold and bitcoin for each trading day during the period from 2016 to 2021, again, According to the ensemble learning prediction results, the optimal average cost method (DCA) (DCA) is used to solve the prediction curve and verify the optimality, and it is concluded that there is a maximum benefit when k=19% and p=54%. Finally, based on the above predictive analysis results, this article explain to traders the model building process and the results it presents, and propose feasible investment decisions about gold and bitcoin from the aspects of trading behavior and trading psychology.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498074","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":"Fencing Model Development and Web Deployment Report","authors":"","doi":"10.23977/acss.2023.070714","DOIUrl":"https://doi.org/10.23977/acss.2023.070714","url":null,"abstract":"Fencing has been an interesting sport for decades. Modern fencing is a sport that tests a competitor's skills, reflexes, and mental fortitude, among other abilities. In this work, an analytical model to predict a player's proficiency in fencing is proposed. A player's proficiency score is linearly dependent on the player's arm length, leg length, agility, speed and reaction speed. To realized the model, at least 6 players' data must be collected. When there are more than 6 players' data contained in the dataset, a linear regression modeled can be established. Thus, the linear model describes the players in a statistical manner for better evaluations for players' averaged proficiency.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498441","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}