Wirel. Commun. Mob. Comput.最新文献

{"title":"Construction and Analysis of Green Investment Risk Evaluation Index System Based on Information Entropy Fuzzy Hierarchical Analysis Model","authors":"Yuqi Huang","doi":"10.1155/2021/4850321","DOIUrl":"https://doi.org/10.1155/2021/4850321","url":null,"abstract":"This paper adopts the information entropy fuzzy hierarchical analysis model to conduct an in-depth study and analysis of the green investment risk evaluation system and to process and analyze its indicators. The entropy method-fuzzy hierarchical analysis is used to evaluate the green financial capital operation risk. Firstly, I point out the research trends and shortcomings, define the concepts of fund operation, operation risk, risk evaluation, and green finance, and elaborate the relevant basic theories to lay the theoretical foundation for the later research; secondly, I identify the external and internal fund operation risks by describing the development plan, overall operation, and specific operation plan of green finance; then, according to the existing fund operation risks, I integrate commercial banks’ risk. Then, based on the existing fund operation risks, I integrate the risk types of commercial banks, combine the characteristics of green finance business, design the green finance fund operation risk evaluation index system, initially determine the index weights through hierarchical analysis method, introduce the entropy value method to improve the index weights, and use the fuzzy comprehensive evaluation method to obtain the final evaluation results: in the process of green finance fund operation, internal risk is the most important risk, among which credit risk and financial innovation risk have the most significant impact; external risk is the second most important risk, among which economic risk and political risk are the most important. External risks are the second most important risks, among which economic risks and political risks are more obvious. The risks are judged from single-factor aspects, and the scoring values are used to determine the higher possibility of schedule risks caused by human factors, and finally, the schedule risk level of the reservoir project is determined to be medium through a comprehensive evaluation. The reasonableness of the calculation results shows that the entropy theory and the fuzzy comprehensive evaluation method are still applicable to the assessment of green investment risks.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"59 1","pages":"4850321:1-4850321:13"},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79343612","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":"SLAM of Mobile Robot for Wireless Communication Based on Improved Particle Filter","authors":"Daixian Zhu, Mingbo Wang, Mengyao Su, Shulin Liu, Ping Guo","doi":"10.1155/2021/9263277","DOIUrl":"https://doi.org/10.1155/2021/9263277","url":null,"abstract":"The mobile robot is moved by receiving instructions through wireless communication, and the particle filter is used to simultaneous localization and mapping. Aiming at the problem of the degradation of particle filter weights and loss of particle diversity, which leads to the decrease of filter accuracy, this paper uses the plant cell swarm algorithm to optimize the particle filter. First of all, combining the characteristics of plant cells that affect the growth rate of cells when the auxin content changes due to light stimulation realizes the optimization of the particles after importance sampling, so that they are concentrated in the high-likelihood area, and the problem of particle weight degradation is solved. Secondly, in the process of optimizing particle distribution, the auxin content of each particle is different, which makes the optimization effect on each particle different, so it effectively solves the problem of particle diversity loss. Finally, a simulation experiment is carried out. During the experiment, the robot moves by receiving control commands through wireless communication. The experimental results show that the algorithm effectively solves the problem of particle weight degradation and particle diversity loss and improves the filtering accuracy. The improved algorithm is verified in the simultaneous localization and mapping of the robot, which effectively improves the robot’s performance at the same time positioning accuracy. Compared with the classic algorithm, the robot positioning accuracy is increased by 49.2%. Moreover, the operational stability of the algorithm has also been improved after the improvement.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"75 1","pages":"9263277:1-9263277:14"},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80974352","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":"Direct Position Determination of Noncircular Sources with Multiple Nested Arrays: Reduced Dimension Subspace Data Fusion","authors":"Yang Qian, Dalin Zhao, Haowei Zeng","doi":"10.1155/2021/9950518","DOIUrl":"https://doi.org/10.1155/2021/9950518","url":null,"abstract":"Direct position determination (DPD) of noncircular (NC) sources with multiple nested arrays (NA) is investigated in this paper. Noncircular sources are used to expand the dimension of the received signal matrix, so the number of identifiable information sources and the accuracy of direct position determination are improved. Furthermore, nested array increases spatial degree of freedom. In this paper, the high-dimensional search problem of noncircular sources is investigated. Therefore, we propose algorithm dimension reduction subspace data fusion (RD-SDF) to reduce complexity and increase positioning accuracy. Simulation results show that the proposed RD-SDF algorithm for multiple nested arrays with noncircular sources has improved positioning accuracy with higher spatial degree of freedom than SDF, Capon, and two-step algorithms with uniform linear array and circular sources (CS).","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"57 1","pages":"9950518:1-9950518:10"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85845918","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 Wireless Communication Technology in Construction Project Information Management","authors":"J. Zhang, Xin Guo, Ying Xu","doi":"10.1155/2021/8174600","DOIUrl":"https://doi.org/10.1155/2021/8174600","url":null,"abstract":"With the replacement of the times, the electronic information technology of all countries in the world has developed rapidly, and 4G mobile communication technology has also obtained the opportunity of development, which has improved the transmission speed of 5G mobile communication technology, which has been widely used in intelligent information management of construction engineering. Under this background, this paper selects the research methods of theory guiding practice and practice updating theory to guide the application of information technology. Based on the actual engineering cases, this paper discusses the scientific process of information management construction of construction projects from the perspective of BIM Technology by taking the specific construction details as the starting point. Firstly, this paper systematically introduces the key technologies of BIM and the related concepts and basic contents of construction project management informatization, expounds and analyzes the three construction modes that should be followed by construction project collaborative management informatization, and puts forward the key and main contents of standardization construction. Then, taking New York freedom building as an engineering case, this paper analyzes the application of building information modeling (BIM) in the architectural design of New York freedom building. Relevant research can provide theoretical and practical references for realizing and ensuring the combination of project management and information technology.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"63 1","pages":"8174600:1-8174600:7"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78705996","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":"Air Quality Prediction Model Based on Spatiotemporal Data Analysis and Metalearning","authors":"Kejia Zhang, Xu Zhang, Hongtao Song, Haiwei Pan, Bangju Wang","doi":"10.1155/2021/9627776","DOIUrl":"https://doi.org/10.1155/2021/9627776","url":null,"abstract":"With the continuous improvement of people’s quality of life, air quality issues have become one of the topics of daily concern. How to achieve accurate predictions of air quality in a variety of complex situations is the key to the rapid response of local governments. This paper studies two problems: (1) how to predict the air quality of any monitoring station based on the existing weather and environmental data while considering the spatiotemporal correlation among monitoring stations and (2) how to maintain the accuracy and stability of the forecast even when the available data is severely insufficient. A prediction model combining Long Short-Term Memory networks (LSTM) and Graph Attention (GAT) mechanism is proposed to solve the first problems. A metalearning algorithm for the prediction model is proposed to solve the second problem. LSTM is used to characterize the temporal correlation of historical data and GAT is used to characterize the spatial correlation among all the monitoring stations in the target city. In the case of insufficient training data, the proposed metalearning algorithm can be used to transfer knowledge from other cities with abundant training data. Through testing on public data sets, the proposed model has obvious advantages in accuracy compared with baseline models. Combining with the metalearning algorithm, it gives a much better performance in the case of insufficient training data.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"40 1","pages":"9627776:1-9627776:11"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73314448","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 Flipped Classroom in the Era of Big Data: What Factors Influence the Effect of Teacher-Student Interaction in Oral English Teaching","authors":"Yan Liu, Wenjin Qi","doi":"10.1155/2021/4966974","DOIUrl":"https://doi.org/10.1155/2021/4966974","url":null,"abstract":"Teachers now have a new teaching model to refer to with the emergence of the flipped classroom. The teacher-student interaction is thought to be influenced by teaching mode as a key indicator of improving teaching efficiency. We develop a research model based on a literature review to explain the drawbacks of teacher-student interaction in flipped classrooms with oral English instruction. SmartPLS software was used to analyze the survey data of 84 students from three classes. Emotional resistance has a significant negative impact on the effect of teacher-student interaction in the flipped classroom, whereas learning autonomy and video content quality have a significant positive impact. Our research adds to the body of knowledge in the field of flipped classrooms and provides theoretical support for teachers in colleges and universities who want to use this teaching method.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"87 1","pages":"4966974:1-4966974:7"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81265468","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":"The Development of Data Acquisition System of Formula SAE Race Car Based on CAN Bus Communication Interface and Closed-Loop Design of Racing Car","authors":"Zhonghao Li, Da Wang, Qiao Kang","doi":"10.1155/2021/4211010","DOIUrl":"https://doi.org/10.1155/2021/4211010","url":null,"abstract":"This paper is mainly based on the college formula race car, through the application of CAN bus communication interface settings, the layout and adjustment of the car sensors, and then carry out the data collection and analysis of the car. CAN bus is the local area network of controller and is one of the field bus which is put forward by German Bosch company and applied most widely in the world. The development of the data analysis system is mainly based on the MoTeC i2 data analysis software. MoTeC i2 data analysis software has been developed for many years under the continuous research of professional teams all over the world. According to the data analysis requirement of FSAE undergraduate Formula 1 teams, this paper introduces a series of data analysis methods closely related to FSAE, mainly including data channel research. This paper expounds the reliability, suspension, tire temperature, steering, and braking data analysis, respectively. Based on the data analysis template created by Motec i2, this paper conducts analysis and basic application according to the data of the real car, so as to meet the requirements of verifying design made by simulation model and tuning the real car scientifically. By means of wheel speed sensor, acceleration sensor, displacement sensor, multichannel temperature sensor, and so on, we conduct a series of tests on 2020 season car, including endurance test, linear acceleration experiment, steady rotation, etc., evaluate the data collected, and then carry on a reasonable set-up of racing, ultimately improving lap speed.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"29 1","pages":"4211010:1-4211010:18"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87520786","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 Vision-Driven Evaluation System for Assisted Decision-Making in Sports Training","authors":"Lijin Zhu","doi":"10.1155/2021/1865538","DOIUrl":"https://doi.org/10.1155/2021/1865538","url":null,"abstract":"Computer vision has become a fast-developing technology in the field of artificial intelligence, and its application fields are also expanding, thanks to the rapid development of deep learning. It will be of great practical value if it is combined with sports. When a traditional exercise assistance system is introduced into sports training, the athlete’s training information can be obtained by monitoring the exercise process through sensors and other equipment, which can assist the athlete in retrospectively analyzing the technical actions. However, the traditional system must be equipped with multiple sensor devices, and the exercise information provided must be accurate. This paper proposes a motion assistance evaluation system based on deep learning algorithms for human posture recognition. The system is divided into three sections: a standard motion database, auxiliary instruction, and overall evaluation. The standard motion database can be customized by the system user, and the auxiliary teaching system can be integrated. The user’s actions are compared to the standard actions and intuitively displayed to the trainers as data. The system’s overall evaluation component can recognize and display video files, giving trainers an intelligent training platform. Simulator tests are also available. It also demonstrates the efficacy of the algorithm used in this paper.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"45 1","pages":"1865538:1-1865538:7"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76617768","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":"Innovation and Development of Rural Leisure Tourism Industry Using Mobile Cloud IoT Computing","authors":"Guangwei Wang","doi":"10.1155/2021/6211063","DOIUrl":"https://doi.org/10.1155/2021/6211063","url":null,"abstract":"As a promising IoT application, the rural leisure tourism industry can promote the reconstruction of industrial structure in rural areas and realize a sustainable, rapid, and healthy development of rural economy. This paper takes the rural leisure tourism industry in China as an example and aims at building an intelligent and integrated modern IoT use case. Based on the traditional rural leisure tourism, we improve the system by adding the data analysis over a mobile cloud IoT computing platform. In particular, this work investigates the characteristics of the national tourism market under the security requirements from governmental cloud data management policy. Our study shows that the geographical concentration index G of tourists in the Chinese market continues to increase. With the booming of IoT applications in rural leisure tourism, intelligent and integrated tourism guidance and optimized decision-making will provide tourists with better information and thus make rapid improvement of geographical concentration index.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"213 1","pages":"6211063:1-6211063:11"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77560095","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":"A Hybrid Deep Neural Network for Electricity Theft Detection Using Intelligent Antenna-Based Smart Meters","authors":"Ashraf Ullah, Nadeem Javaid, Adamu Sani Yahaya, Tanzeela Sultana, F. Al-Zahrani, F. Zaman","doi":"10.1155/2021/9933111","DOIUrl":"https://doi.org/10.1155/2021/9933111","url":null,"abstract":"This paper presents a hybrid model, named as hybrid deep neural network, which combines convolutional neural network, particle swarm optimization, and gated recurrent unit, termed as convolutional neural network-particle swarm optimization-gated recurrent unit model. The major aims of the model are to perform accurate electricity theft detection and to overcome the issues in the existing models. The issues include overfitting and inability of the models to handle imbalanced data. For this purpose, the electricity consumption data of smart meters is taken from state grid corporation of China. An electric utility company gathers the data from the intelligent antenna-based smart meters installed at the consumers’ end. The dataset contains real-time data with missing values and outliers. Therefore, it is first preprocessed to get the refined data followed by feature engineering for selection and extraction of the finest features from the dataset using convolutional neural network. The classification of electricity consumers is performed by dividing them into honest and fraudulent classes using the proposed particle swarm optimization-gated recurrent unit model. The proposed model is evaluated by performing simulations in terms of several performance measures that include accuracy, area under the curve, \u0000 \u0000 F\u0000 1\u0000 \u0000 -score, recall, and precision. The comparison between the proposed hybrid deep neural network and benchmark models is also performed. The benchmark models include gated recurrent unit, long short term memory, logistic regression, support vector machine, and genetic algorithm-based gated recurrent unit. The results indicate that the proposed hybrid deep neural network model is more efficient in handling class imbalanced issues and performing electricity theft detection. The robustness, accuracy, and generalization of the model are also analyzed in the proposed work.","PeriodicalId":23995,"journal":{"name":"Wirel. Commun. Mob. Comput.","volume":"16 1","pages":"9933111:1-9933111:19"},"PeriodicalIF":0.0,"publicationDate":"2021-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75510775","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}