Mob. Inf. Syst.最新文献

{"title":"Computer Vision-Enabled Character Recognition of Hand Gestures for Patients with Hearing and Speaking Disability","authors":"Sapna Juneja, Abhinav Juneja, G. Dhiman, Shashank Jain, Anurag Dhankhar, S. Kautish","doi":"10.1155/2021/4912486","DOIUrl":"https://doi.org/10.1155/2021/4912486","url":null,"abstract":"Hand gesture recognition is one of the most sought technologies in the field of machine learning and computer vision. There has been an unprecedented demand for applications through which one can detect the hand signs for deaf people and people who use sign language to communicate, thereby detecting hand signs and correspondingly predicting the next word or recommending the word that may be most appropriate, followed by producing the word that the deaf people and people who use sign language to communicate want to say. This article presents an approach to develop such a system by that we can determine the most appropriate character from the sign that is being shown by the user or the person to the system. To enable pattern recognition, various machine learning techniques have been explored and we have used the CNN networks as a reliable solution in our context. The creation of such a system involves several convolution layers through which features have been captured layer by layer. The gathered features from the image are further used for training the model. The trained model efficiently predicts the most appropriate character in response to the sign exposed to the model. Thereafter, the predicted character is used to predict further words from it according to the recommendation system used in this case. The proposed system attains a prediction accuracy of 91.07%.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"49 1","pages":"4912486:1-4912486:10"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81112101","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":"Adaptive Video Caption Detection and Extraction Method Based on Color Filtering Principle","authors":"Peng Ren, G. Zhao, Yongjun Liu","doi":"10.1155/2021/7376572","DOIUrl":"https://doi.org/10.1155/2021/7376572","url":null,"abstract":"Based on the principle of color (RGB) filtering, an improved adaptive video caption detection and extraction method is proposed. Firstly, the principle of the color filtering algorithm used in the video caption detection and extraction method is analyzed, and then the algorithm is improved adaptively according to the caption pixel size to filter the noise. Finally, experiments verify the effect of this method in extracting subtitles from video. The experimental results show that the accuracy of detecting and extracting subtitles in color video is as high as 99.3%.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"18 1","pages":"7376572:1-7376572:8"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81863794","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 VR in the Experimental Teaching of Animation Art","authors":"Xi Deng, Jieqing Lei, Mobai Chen","doi":"10.1155/2021/4642850","DOIUrl":"https://doi.org/10.1155/2021/4642850","url":null,"abstract":"As computer technology advanced, VR has emerged. It is a virtual environment based on high-tech computer technology that can bring people a sense of reality and sensory experience. Through specific devices or equipment, it uses unique means to interact and communicate with the target object in the virtual environment, so that the professor can get a sense of reality and immersive experience. In order to increase students’ interest in teaching content, and at the same time to develop the education industry to achieve technology, this article combines virtual reality technology with experimental teaching. The paper discusses the use of VR in animation art experimental teaching and plans to provide thoughts and instructions about the fresh way in animation experimental teaching. This paper proposes the application research methods of VR in animation experiment teaching, including literature research method, expert interview method, questionnaire survey method, VR animation art teaching based on image method, and VR animation teaching evaluation clustering algorithm, which is used for conducting research experiments on the utilization of VR in animation art experimental learning. The experimental results in this article show that 96.25% of students like animation art VR experimental teaching system, which is helpful to the development of the teaching work.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"31 1","pages":"4642850:1-4642850:7"},"PeriodicalIF":0.0,"publicationDate":"2021-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82617610","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":"Face Reconstruction Based on Multiscale Feature Fusion and 3D Animation Design","authors":"Lili Xu","doi":"10.1155/2021/3737189","DOIUrl":"https://doi.org/10.1155/2021/3737189","url":null,"abstract":"The development of the Internet of Things and 3D technology promotes the wide application of face models in 3D animation. However, because the expression is inconsistent with the facial muscle movement, the reconstruction results may be far from the real appearance in the process of reconstructing the face appearance. Therefore, this paper proposes a character expression simulation model under the framework of 3DS Max. According to the relationship between head bones and muscles, a facial muscle motion model was established. Then, the expression simulation design of the original three-dimensional animation character “yaya” was carried out under the framework of 3DS Max technology. The experimental results of “yaya” facial expression test showed that the face simulation model using this method not only has vivid and natural expression but also conforms to the law of facial muscle movement, which provides an important reference for the construction and application of 3D face model.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"20 1","pages":"3737189:1-3737189:10"},"PeriodicalIF":0.0,"publicationDate":"2021-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89139496","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":"Big Data Analysis of e-Commerce Efficiency and Its Influencing Factors of Agricultural Products in China","authors":"Y. Wen, L. Kong, Gaoxiu Liu","doi":"10.1155/2021/5708829","DOIUrl":"https://doi.org/10.1155/2021/5708829","url":null,"abstract":"At present, the e-commerce industry of agricultural products plays a pivotal role in promoting income growth and helping rural revitalization. This paper collected relevant data in the recent 8 years (2012 to 2019) and used the DEA model and Tobit model to analyze the correlation degree between the efficiency and various influencing factors in China. DEA analysis results show that, in recent years, three efficiencies are quite different: the comprehensive efficiency and scale efficiency show an upward trend, while the pure technical efficiency remains at a high level. Tobit model results show that the number of urban Internet users, rural Internet users, logistics practitioners, the development of national economy are negatively correlated with e-commerce efficiency; the length of traffic construction has no significant correlation; the level of agricultural mechanization has a significant positive correlation. Hence, the paper puts forward four suggestions.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"207 1","pages":"5708829:1-5708829:8"},"PeriodicalIF":0.0,"publicationDate":"2021-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88000304","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":"Spatial Econometric Analysis of China's Sports Capital Market","authors":"Xu Chen, Q. Zhu","doi":"10.1155/2021/7017412","DOIUrl":"https://doi.org/10.1155/2021/7017412","url":null,"abstract":"The capital market provides important capital factor guarantee and supply-side support for the high-quality development of the sports industry, and the healthy development of the sports capital market, which is composed of securities market, loan market, trading derivative market, and physical market, plays a vital role in ensuring the smooth and efficient operation of the sports market economy mechanism. At the present stage, how to play the role of resource allocation in China’s sports capital market and how to improve the quality and efficiency of the sports industry by the capital market have become the core issue of research and discussion. Taking A-share listed companies as the typical micro-market subjects, this paper analyzes the financing needs and behaviors of sports listed companies and the support degree of different types of capital markets; on the basis of traditional measurement methods, spatial econometric analysis is used to explore the effectiveness of capital market on the development of the sports industry.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"7 1","pages":"7017412:1-7017412:15"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86195195","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 of Kurtosis in the Extend-Infomax Blind Signal Separation Algorithm","authors":"Z. Cui, Yongcai Zhang, N. Yi","doi":"10.1155/2021/3902271","DOIUrl":"https://doi.org/10.1155/2021/3902271","url":null,"abstract":"A kurtosis optimization method is proposed to improve the blind separated signal qualities based on the extend-infomax algorithm. The kurtosis of the hypothetical source signal was optimized based on the probability density function of sub-Gaussian signals. Obtained parameters after kurtosis optimization were then utilized to validate the effectiveness of the algorithm, which showed that the running time of the algorithm was significantly reduced, and the qualities of the separated signals were enhanced. Methods. Using kurtosis as a control variable, a one-way analysis of variance (ANOVA) was carried out on the algorithm’s performance metrics, the number of iterations, and the signal-to-noise ratio of the separated signal. Results. The results showed that there were significant differences in the above metrics under different kurtosis levels. The curves of average metric values indicate that, with the increase in kurtosis of the hypothetical source signal, the performance of the algorithm was improved.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"83 1","pages":"3902271:1-3902271:8"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83130963","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 Mobile Information System Based on Internet in College Physical Education Classroom Teaching","authors":"Jiayi Li","doi":"10.1155/2021/1481070","DOIUrl":"https://doi.org/10.1155/2021/1481070","url":null,"abstract":"With the continuous acceleration of China’s socialist process, the development of society has made a great leap forward. Mobile Internet is an emerging product of the integration of traditional Internet and mobile communication industries. At present, the industry has not yet reached a unified consensus on the concept of mobile Internet. This research mainly discusses the application of Internet-based mobile information system in college physical education classroom teaching. In order to adapt to the pace of social development and cultivate more intelligent, healthy, and noble students, the education cause also carries out continuous reform and innovation. New educational ideas and new educational methods have been attracting people’s attention. More and more people are pursuing higher education level. School education should not only pay attention to the progress of students’ academic performance and the sound personality quality, but also pay attention to the implementation of physical education and help students carry out appropriate physical exercise, so as to exercise students’ physique and make them realize the importance of physical exercise. As an important link in school physical education teaching, classroom teaching design has a very important influence on teaching quality and classroom teaching effect. For the Internet mobile information system, it can not only improve the ability of physical education teachers to control the teaching process, but also make the teaching objectives and content, teaching strategies and methods, and teaching evaluation formulated by physical education teachers more systematic, thus improving the teaching quality and professional development of physical education teachers. Abundant online teaching resources provide teachers with a powerful information resource database for lesson preparation and teaching. Learners can access teaching resources at any time through the Internet mobile information system. The Internet mobile information system provides a variety of file sharing methods for teachers and students to share physical education resources. Teachers and students forward and share teaching-related resources anytime and anywhere through the network platform, which not only helps to strengthen the students’ ability to collect and process information, but also strengthens the communication and cooperation between students through the sharing of learning resources. This study aims to study the problems of university physical education classroom teaching from the perspective of the Internet mobile information system, find the problems existing in university physical education classroom teaching, reasonably solve the educational problems of university physical education classroom teaching, help the development of college sports, and help college students to carry out physical exercise and maintain a strong constitution. The methods adopted in this paper are as follows: firstly, inductive method is used to ","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"1 1","pages":"1481070:1-1481070:10"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90050496","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":"Intelligent Network Office System Based on Cloud Computing and Machine Learning","authors":"Yinfang Guo, Yanjun Guo","doi":"10.1155/2021/5868261","DOIUrl":"https://doi.org/10.1155/2021/5868261","url":null,"abstract":"The traditional data automatic office system has limited mining and computing capabilities. Due to the iterative complexity of data mining algorithms, it is difficult to discover the relationships and rules existing in the Internet of Things data as well as impossible to advance the efficiency of the office system based on the existing Internet of Things data. This paper combines cloud computing and machine learning to construct an intelligent network office system, realizes large-scale IoT data processing through the combination of IoT data mining technology and cloud computing framework, and constructs the functional module structure of the intelligent network office system through demand analysis. On this basis, this paper conducts system performance verification and conducts experimental design based on network intelligent system demand. The experimental results show that the system constructed in this paper has certain practical effects, which can provide theoretical reference for subsequent related research.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"7 1","pages":"5868261:1-5868261:14"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79327564","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":"Financial Performance Management System and Wireless Sharing Network Optimization of Listed Enterprises under BPNN","authors":"Shan Lin","doi":"10.1155/2021/3443189","DOIUrl":"https://doi.org/10.1155/2021/3443189","url":null,"abstract":"The study aims to respond to the difficulties in establishing an index system in financial performance management and ensuring the security of wireless sharing network and the local extremum and slow convergence speed of the traditional BP neural network (BPNN). First, Levenberg–Marquardt (LM) is used to optimize BPNN, and an improved BPNN is proposed. Second, the financial performance evaluation system of listed companies based on BPNN is constructed. Finally, a wireless network infusion detection system based on the improved BPNN is proposed and tested by constructing datasets and a real test environment. The results show that (1) the financial performance evaluation system of listed enterprises constructed can evaluate the financial performance of listed enterprises with fewer errors. It is easy to operate, and it has high accuracy and the abilities of self-learning and self-adaptation; (2) Wireless Infusion Detection System (WIDS) based on the improved BP algorithm has a high detection rate and a low error rate. The study provides important technical support for listed enterprises to improve the financial performance management level and market competitiveness and strengthen the security protection of networks.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"304 1","pages":"3443189:1-3443189:11"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79682525","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}