{"title":"Machine Learning based Data Analysis for Wordle Game","authors":"Zidong Wu","doi":"10.54097/fcis.v4i3.11237","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11237","url":null,"abstract":"As wordle game is becoming more and more popular all over the world, the study of the intrinsic patterns and problem-solving techniques of the game has become a popular topic. In this paper, we obtained daily result files of wordle over a period of time, which included data such as words of the day, the number of people who reported their scores on the day, and the number of players who entered the difficult mode, and further analyzed the data. In order to predict the results reported on a future day, this paper first eliminates the abnormal data in the dataset, and then builds the LSTM model and ARIMA model. On the test set, the MAPE (mean absolute error) of the LSTM model is 5.643, and the LSTM is significantly better than the ARIMA model. Secondly, in order to predict the distribution of word results for a given future date, the 12 features of the network training data were first subjected to PCA dimensionality reduction, and the results showed that the percentages were consistent with time by performing the Shapiro-Wilk normalization test on the correlation percentages. Based on this observation, we built a BP-LSTM parallel model to extract word attributes and extract percentage features over time. The model has a MAPE of 6.09, which outperforms a BP neural network that can only extract word attributes.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435933","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":"Well Testing Analysis Method and Practice for Low Permeability Gas Reservoirs","authors":"Huohai Yang, Qingrong Liao","doi":"10.54097/fcis.v4i3.11155","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11155","url":null,"abstract":"With the gradual maturity of well testing interpretation theory, some scholars have conducted research on vertical well testing models, horizontal well testing models, and inclined well testing models for fractured and vuggy reservoirs, and plotted typical well testing curves. However, during the drilling process, the wellbore is usually connected to both the fractures and the reservoir matrix, resulting in a dual permeability situation where the fractures and matrix simultaneously supply fluid to the wellbore. Based on this, some scholars have established a horizontal well dual hole dual permeability testing model, a vertical well three hole dual permeability testing model, and a horizontal well three hole dual permeability testing model, making the results of well testing interpretation more reasonable and reliable. For the well testing analysis of inclined wells in fractured and vuggy reservoirs, the existing inclined well models only consider the three hole single permeability situation where the fractures are connected to the wellbore. There is little research on the three hole dual permeability well testing model where the inclined well matrix and fractures supply the wellbore simultaneously. Therefore, based on previous research, this article establishes and solves a well testing model for inclined wells with three pores and dual permeability, using the effective wellbore diameter and the principle of Duhame superposition, taking into account the bottom hole pressure effect, and draws sample curves for the analysis of inclined wells in fractured and vuggy reservoirs. This provides a reference for the analysis of inclined wells in fractured and vuggy reservoirs.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126070828","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":"Survey of AR Object Tracking Technology Based on Deep Learning","authors":"Kaihao Xu","doi":"10.54097/fcis.v4i3.11153","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11153","url":null,"abstract":"Augmented reality (AR) is the process of \"augmenting\" computer information into the real or physical world. This helps us better understand the process and has numerous application-level AR has an almost unlimited range of applications in today's world, and if implemented, will help solve many complex problems in a simple way. This paper presents a comprehensive survey of the different types of tracking technique. As used to develop object tracking algorithms for AR applications. This paper compares and analyses different types of sensor-based and vision-based tracking technologies, and finally draws conclusions. The mixed use of different types of tracking technologies is one of the best solutions to achieve accurate and powerful tracking to meet the strict requirements of AR applications.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132390","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}
Lijun Ma, He Zhu, Xiaojian Xu, Yanxia Xing, Bo Li, Yang Yu, Mengliu Zhu
{"title":"System Design of Microcrystal Freezing Sleeping Equipment and Research on Effect of Foie Gras Fast Cooling Equipment","authors":"Lijun Ma, He Zhu, Xiaojian Xu, Yanxia Xing, Bo Li, Yang Yu, Mengliu Zhu","doi":"10.54097/fcis.v4i3.11132","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11132","url":null,"abstract":"The purpose of this paper is to design the heat exchanger copper tube in the microcrystalline freezing sleeping equipment system and explore the freezing effect of the foie gras fast cooling equipment. By using SOLID WORKS 2021 to design the heat exchanger of the copper tube, it is applied to the microcrystalline freezing sleeping equipment. Exploring the cooling time of microcrystal freezing sleeping equipment and freezing refrigerator; The extraction rate of foie gras juice at different temperatures after being treated by microcrystalline freezing equipment was investigated, and the optimum freezing temperature was obtained. Compare the juice leaching rate, cooked meat loss rate, color difference, shear force physicochemical properties of foie gras after different treatment methods. The results show that it takes 12.5 min for the body temperature to reach -18℃ by using the frozen sleeping equipment, which is better than 240 min in the refrigerator. When the temperature of the instrument is set at -20℃, the juice leaching rate is the least. There was no significant difference in the cooking loss rate and SAP leaching rate between the treatment group and the liquid nitrogen treatment group. There was no significant difference in color difference among the three freezing groups. There was no significant difference between the tenderness of foie gras treated by microcrystalline freezing device and that of fresh meat group. Thus, the feasibility of changing the copper tube of heat exchanger to improve the efficiency of the equipment is verified, which provides a theoretical basis for the comprehensive utilization of the rapid cooling equipment in the future.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462958","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":"Conference Planning and Resolution Management System","authors":"Haijun Gong","doi":"10.54097/fcis.v4i3.11266","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11266","url":null,"abstract":"This paper mainly introduces the development background and significance of conference planning and resolution management system, and describes the research content of this system. Conference planning and resolution management system is not only a typical conference management system, but also focuses on overcoming the shortcomings of traditional conference mode and controlling the conference cycle. After the in-depth research and technical implementation verification of this topic, the development architecture and technical route of this system are determined, that is, the common B / S structure, JSP to write display pages, medium-sized database MySQL, the server to take tomcat, as a server container to achieve data request and return. Users do not need to download and install plug-ins or other software, but can directly realize system interaction at the browsing end, which is convenient and applicable. According to the CMM software engineering design idea, this paper discusses the realization of several key modules of conference room, conference document and conference, including the key functions of conference reservation, minutes, sign in, resolution, message release, etc. In addition, this paper also has a more detailed description of other parts of the system, such as user information, help management and other modules and the realization of the database. The key technology of this system is JSP technology and MYSQL, which has very strong practicability. It can improve the efficiency of conference organization and resolution, simplify the operation of conference management personnel, guarantee the orderly development of conference and ensure the quality of work.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127426038","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}
Jiaxin Gao, Yuelu Chen, Baolong Cao, Yiming Chen, Chuanqi Li
{"title":"Training Scene Construction and Motion Realization of Unmanned Craft based on Unreal Engine","authors":"Jiaxin Gao, Yuelu Chen, Baolong Cao, Yiming Chen, Chuanqi Li","doi":"10.54097/fcis.v4i3.11134","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11134","url":null,"abstract":"Aiming at the problems of the traditional training system, such as the unrealistic simulation of 3D animation effects and the inability to meet the demand of real-time manipulation response of simulation training based on the original mechanical calculation, this paper puts forward a method of unmanned craft training scene construction and motion realization based on Unreal Engine. The method makes full use of Unreal Engine's powerful graphic rendering ability and physics engine function, and combines 3D MAX to realize the rapid construction of unmanned craft training scene, environment simulation, and unmanned craft motion simulation and control. The developed unmanned craft training software has the characteristics of smooth and clear picture, realistic and delicate scene, strong training immersion, and real manipulation experience, which can effectively improve the training efficiency and training safety, reduce the training cost, and have significant economic benefits.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114850579","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 Improved Immune Particle Swarm Optimization in 3D Node Localization","authors":"Minghong Xu","doi":"10.54097/fcis.v4i3.11154","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11154","url":null,"abstract":"When 2D localization algorithm is extended to 3D space, it achieves node localization with better localization accuracy. An improved immune particle swarm optimization (IIPSO) localization algorithm is proposed to estimate the localization of nodes in wireless sensor networks (WSN). The results show that IIPSO algorithm outperforms the traditional two-dimensional localization algorithm based on iterative estimation of the center of mass by 3%-6%. The proposed algorithm has better resistance to RSSI measurement errors and can achieve more than 99% node localization coverage through multiple iterations, which is effective for WSN.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124286485","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":"EMD-BiLSTM Stock Price Trend Forecasting Model based on Investor Sentiment","authors":"Tianyu Xu, Xiaoling He","doi":"10.54097/fcis.v4i3.11268","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11268","url":null,"abstract":"The movement of stock prices is the focus of investors' attention in the stock market, so stock price trend prediction has always been a hot topic in quantitative investment research. Traditional machine learning forecasting models are difficult to process nonlinear, high-frequency, high-noise stock price time series, which makes the prediction accuracy of stock price trends low. In order to improve the prediction accuracy, according to the temporal characteristics of stock price data, it is proposed to use a combination of empirical mode decomposition (EMD), investor sentiment and two-way long short-term memory neural network to predict the rise and fall of stock prices. Firstly, the empirical mode decomposition algorithm is used to extract the characteristics of the stock price time series on different time scales, and the investor sentiment indicators of the text from the close of the previous stock trading day to the opening of the next trading day are extracted by constructing a financial sentiment dictionary, and finally the EMD-BiLSTM model is used to predict the rise and fall of the next index trading day. Experiments on the dataset of stock price series show that the optimized BiLSTM model has strong predictive ability for the trend of consumer sector indexes.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731252","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":"Research on Urban Monitoring Network Management Platform based on AI Data Stream Processing","authors":"Qinyu Song","doi":"10.54097/fcis.v4i3.11239","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11239","url":null,"abstract":"In recent years, with the upsurge of the continuous development of high-tech information industry, the security industry has also made a new leap in technology, products, industry and so on. The traditional single small-scale monitoring and management software obviously cannot meet the actual needs of users in terms of system scale and functional requirements. This paper puts forward a network management platform for urban monitoring based on AI data stream processing. With the help of comprehensive processing and analysis of urban complex information, through network remote monitoring means, information supervision and public opinion trends are used to control social environmental security, timely warning and response to unexpected accidents, so as to ensure that governance departments can fully control and prevent possible problems such as road traffic, population distribution and disaster emergency.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123244875","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":"Research on Computer Network Security Prevention in the Context of Big Data","authors":"Jiahao He","doi":"10.54097/fcis.v4i3.11147","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11147","url":null,"abstract":"With the rapid development of information technology, big data technology has become one of the important pillars of today's society. However, the wide application of big data has also brought more security threats and challenges, among which computer network security has become a focus that needs to be solved urgently. This thesis aims to study the current situation and challenges of computer network security in the context of big data, analyze the advantages and disadvantages of the existing security measures, and put forward improvement programs to better protect computer network security in the era of big data.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"387 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592143","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}