Mob. Inf. Syst.最新文献_第2页

Resource Scheduling Based on Unequal Clustering in Internet of Things 基于不均匀聚类的物联网资源调度

Mob. Inf. Syst. Pub Date : 2022-01-25 DOI: 10.1155/2022/1810704

Hongying Bai, Xiaotong Zhang, Yingdong Xie, Haiyan Gong, Zhuang Li, Shilong Liu

{"title":"Resource Scheduling Based on Unequal Clustering in Internet of Things","authors":"Hongying Bai, Xiaotong Zhang, Yingdong Xie, Haiyan Gong, Zhuang Li, Shilong Liu","doi":"10.1155/2022/1810704","DOIUrl":"https://doi.org/10.1155/2022/1810704","url":null,"abstract":"Resource scheduling in a fair and efficient manner is a significant challenge in the Internet of Things. Although unequal clustering is an effective technique for alleviating the “energy holes” problem in multihop communication, resource scheduling based on unequal clustering is scarcely conducted. In the present study, a new resource scheduling based on unequal clustering in the Internet of Things (RSUC) is proposed. In RSUC, unequal clustering and multihop routing are considered, and the “energy holes” problem is alleviated effectively. RSUC includes resource scheduling of intracluster communication and intercluster communication. In resource scheduling of intracluster communication, according to the threshold of the number of cluster members, the cluster heads (CHs) recycle resources of failed nodes. In resource scheduling of intercluster communication, CHs in the different layers based on transmission chain obtain different sending and receiving time slots. In RSUC, CHs that are near the base station (BS) have fewer intracluster communication time slots and more intercluster communication time slots. Clusters that are further away from the BS end intercluster communication earlier and enter into intracluster communication instead of waiting for all CHs to complete intercluster communication. The simulation results reveal that RSUC significantly increases the network throughput and reduces the energy consumption of the Internet of Things.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"14 1","pages":"1810704:1-1810704:14"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84914249","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}

引用次数: 0

A Modified Whale Optimization Algorithm and Its Application in Seismic Inversion Problem 一种改进的鲸鱼优化算法及其在地震反演问题中的应用

Mob. Inf. Syst. Pub Date : 2022-01-24 DOI: 10.1155/2022/9159130

Xiaodan Liang, Siwen Xu, Yang Liu, Liling Sun

引用次数: 7

Integration Mechanism of Heterogeneous Foreign Language Education Resources Based on Time Series Analysis in IIoT 基于时间序列分析的IIoT异构外语教育资源整合机制

Mob. Inf. Syst. Pub Date : 2022-01-21 DOI: 10.1155/2022/5309556

Hong Jin

{"title":"Integration Mechanism of Heterogeneous Foreign Language Education Resources Based on Time Series Analysis in IIoT","authors":"Hong Jin","doi":"10.1155/2022/5309556","DOIUrl":"https://doi.org/10.1155/2022/5309556","url":null,"abstract":"Industrial Internet of Things (IIoT) has attracted much attention from global researchers and has been applied into many fields, such as medical treatment, transportation, and education. This paper pays attention to an IIoT-oriented education problem and gives the corresponding solution. Heterogeneous educational resources have multisource target data, so it is necessary to integrate the repetitive data and data with the same attributes. However, due to the poor tracking effect of the model constructed by traditional methods, the mining technology loses a part of the data characteristics and affects the multisource foreign language education data integration. So this article studies the integration mechanism of foreign language heterogeneous educational resources based on time series analysis. The mechanism adopts a data cleaning and fusion method based on the time series similarity measurement. This method uses approximate symbol aggregation, European algorithm, and similar sequences with adjusted similarity weights to complete the data cleaning of foreign language heterogeneous educational resources. After that, it uses multiple heterogeneous data fusion algorithms to complete data integration. Experiments with foreign language education resources at all levels in a certain city show that the mechanism can detect abnormal data of foreign language education resources, fill in vacant data, reduce data redundancy, and integrate heterogeneous data. After the data are cleaned by multisource heterogeneous data fusion algorithm, the credibility of the measurement data is reflected, and the mean absolute percentage error is only 6.25%. The data quality is improved as a whole, and it provides reliable basic data for the application of foreign language education resources.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"17 1","pages":"5309556:1-5309556:7"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74433481","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}

引用次数: 3

Recommendation Optimization of Physical Education for Developing the Intelligence of Autistic Children following Intelligent Collaborative Filtering Algorithm 基于智能协同过滤算法的自闭症儿童智力发展体育推荐优化

Mob. Inf. Syst. Pub Date : 2022-01-21 DOI: 10.1155/2022/1388872

Hongzhong Hao, Sheng Hu

{"title":"Recommendation Optimization of Physical Education for Developing the Intelligence of Autistic Children following Intelligent Collaborative Filtering Algorithm","authors":"Hongzhong Hao, Sheng Hu","doi":"10.1155/2022/1388872","DOIUrl":"https://doi.org/10.1155/2022/1388872","url":null,"abstract":"Autism, a developmental disorder affecting social and communication skills, differs from most the mental handicap in showing a characteristic pattern of poor, intact, and even superior cognitive abilities. This study aims to solve the mismatch of the teaching content and mental health education for autistic children. Inspired by artificial intelligence, an improved neural network matrix factorization (NeuMF) model is designed based on the theory of collaborative filtering, and time data is added to improve the NeuMF by using the K-means clustering algorithm. Several evaluation indexes such as root mean square error (RMSE) and mean absolute error (MAE) are selected to assess the performance of the proposed model. Results show that RMSE and MAE of the improved NeuMF model are 1.251 and 0.625, respectively, which are better than collaborative filtering and traditional neural network factorization models. Moreover, the proposed model is used to recommend the activities of physical education (PE) for developing the intelligence of autistic children. This proves that the optimized model has better performance and can be used to recommend online courses for autistic users. This dynamic personalized curriculum recommendations model can help autistic children recover in a short time.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"34 1","pages":"1388872:1-1388872:9"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85136600","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}

引用次数: 2

Robust Optimization of Dynamic Characteristics of Mechanical Structure Combined with Multivariable Predictive Compensation 结合多变量预测补偿的机械结构动态特性鲁棒优化

Mob. Inf. Syst. Pub Date : 2022-01-20 DOI: 10.1155/2022/9221522

Li Zhang

引用次数: 0

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption 上下文感知和普遍性对移动政府服务采用的影响

Mob. Inf. Syst. Pub Date : 2022-01-20 DOI: 10.1155/2022/5918826

Isaac Kofi Mensah, D. S. Mwakapesa

{"title":"The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption","authors":"Isaac Kofi Mensah, D. S. Mwakapesa","doi":"10.1155/2022/5918826","DOIUrl":"https://doi.org/10.1155/2022/5918826","url":null,"abstract":"Context awareness and mobile factor ubiquity are considered key factors when it comes to mobile technology development and diffusion. Context is vital in interactive applications particularly when the context of users changes frequently and rapidly in the environment of handheld-mobile and ubiquitous technology systems. The understanding of the context and ubiquity in the development and diffusion of mobile government can influence the delivery of efficient public services. Mobile context-aware computing systems can respond to the changes in the environment in an intelligent way to provide a better consumer experience for users. This study explored the impact of context awareness and mobile factor ubiquity on the adoption of mobile government services. The framework of this study was based on the unified theory of acceptance and use of technology (UTAUT). The structural equation model (SEM) with SmartPLS 3.0 was used to conduct the data analysis. The analysis which was based on the 366 samples generated has shown that while context awareness was not significant in determining both the performance and intention to use, it was however significant in determining the effort expectancy of mobile government services. Also, mobile factor ubiquity was found to be a positive predictor of effort expectancy, intention to use, and context awareness. However, the mobile factor ubiquity does not determine the performance expectancy of mobile government services. The implications (managerial and theoretical) of these and other result findings of the study are discussed.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"23 1","pages":"5918826:1-5918826:20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77875871","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}

引用次数: 8

Research on Investment Performance of Venture Capital Network Community in the Internet Industry 互联网行业风险投资网络社区投资绩效研究

Mob. Inf. Syst. Pub Date : 2022-01-20 DOI: 10.1155/2022/7373981

Xiaojie Pei, Xinghua Dang

{"title":"Research on Investment Performance of Venture Capital Network Community in the Internet Industry","authors":"Xiaojie Pei, Xinghua Dang","doi":"10.1155/2022/7373981","DOIUrl":"https://doi.org/10.1155/2022/7373981","url":null,"abstract":"Venture capital has emerged as an important intermediary in financial markets, providing capital to young high-technology firms that might have otherwise gone unfunded. Venture capitalists have developed a variety of mechanisms to overcome the problems that emerge at each stage of the investment process. This study selected the China Venture (CV) source database for venture capital (VC) research in the Chinese Internet industry and extracted information on investment time, VC firms, and investment amount. Combining theoretical analysis and empirical research, the differences between the leader community and the self-organizing community in the Chinese Internet industry are analyzed and the reasons and paths leading to the change of investment performance are determined. It is found that the information dissemination of core nodes promotes the information dissemination of leaders’ communities and the two kinds of organizational learning have different effects on investment performance in the two communities. Under experimental learning and information dissemination, the investment performance of the leader community is greater than the self-organizing community. The outcomes of this research can be used as a reference for the sustainable development of the Chinese Internet industry.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"156 1","pages":"7373981:1-7373981:11"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85495934","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}

引用次数: 1

A Network Communication Frequency Routing Protocol of Coal Mine Safety Monitoring System Based on Wireless Narrowband Data Communication Network 基于无线窄带数据通信网的煤矿安全监控系统网络通信频率路由协议

Mob. Inf. Syst. Pub Date : 2022-01-19 DOI: 10.1155/2022/4906599

J. Zhang, Min Chen, YaHui Liu, Pingjian Yao

{"title":"A Network Communication Frequency Routing Protocol of Coal Mine Safety Monitoring System Based on Wireless Narrowband Data Communication Network","authors":"J. Zhang, Min Chen, YaHui Liu, Pingjian Yao","doi":"10.1155/2022/4906599","DOIUrl":"https://doi.org/10.1155/2022/4906599","url":null,"abstract":"In recent years, the coal industry has been expanding the scale and output of coal mining in China, yet the safety in production is faced with great challenge. Communication system in coal mines plays a significant role in production safety, and wireless narrowband data communication network technology is a new-type advantageous measure to construct wireless network security monitoring system for coal mining. Here, a coal mine monitoring signal transmission method based on bus technology and wireless data transmission technology suitable for coal mines is proposed. The corresponding monitoring system is designed, and the system is able to collect the gas concentration and mechanical operation status of the mines. Wireless sensor network nodes are used for the RF communication module. The communication performance of this system in coal and rock medium and the roadway along the goaf is simulated, and the quantitative relationship between the attenuation coefficient of different communication frequencies and the effective communication distance is obtained. Hence, the results show that the protocol has good performance in terms of route establishment, maintenance, and data transmission hop count for the positioning of coal mine employees.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"9 1","pages":"4906599:1-4906599:8"},"PeriodicalIF":0.0,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73276553","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}

引用次数: 1

Feature Extraction Method of Snowboard Starting Action Using Vision Sensor Image Processing 基于视觉传感器图像处理的滑雪板起动动作特征提取方法

Mob. Inf. Syst. Pub Date : 2022-01-19 DOI: 10.1155/2022/2829547

Tao Zhang, Zhipeng Li, Myung-Cheul Shin, Chunxia Wang, Wenli Song, Lei Lui

{"title":"Feature Extraction Method of Snowboard Starting Action Using Vision Sensor Image Processing","authors":"Tao Zhang, Zhipeng Li, Myung-Cheul Shin, Chunxia Wang, Wenli Song, Lei Lui","doi":"10.1155/2022/2829547","DOIUrl":"https://doi.org/10.1155/2022/2829547","url":null,"abstract":"There is a lot of noise in the snowboard starting action image, which leads to the low accuracy of snowboard starting action feature extraction. We propose a snowboard starting action feature extraction using visual sensor image processing. Firstly, the overlapping images are separated by laser fringe technology. After separation, the middle point of the image is taken as the feature point, and the interference factors are filtered by laser. Secondly, the three-dimensional model is established by using visual sensing image technology, the action feature images are input in the order of recognition, and all actions are reconstructed and assembled to complete the action feature extraction of snowboard. The interference factors are filtered by laser, the middle part of the action image is extracted according to the common features of multiple images, and its definition is described. The movement change and moving distance are used to count the most features and clarity. Finally, the edge recognition effect of snowboard starting action image and the action recognition effect under multiple complex images are taken as experimental indexes. The results show that the method has a good effect on image edge extraction, the extraction effect is as high as 95%, and the accuracy is as high as 2.1%. In addition, under multiple complex images, the action feature recognition rate is also high, which can prove that the method studied has better accuracy in snowboard starting action feature extraction.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"50 1","pages":"2829547:1-2829547:9"},"PeriodicalIF":0.0,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79422645","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}

引用次数: 0

Influence of Enterprise Culture Construction on Technological Innovation Ability Based on Deep Learning 基于深度学习的企业文化建设对技术创新能力的影响

Mob. Inf. Syst. Pub Date : 2022-01-19 DOI: 10.1155/2022/7533230

Hengshan Yang, Lu-yao Wang

引用次数: 1