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Maximizing network efficiency by optimizing channel allocation in wireless body area networks using machine learning techniques 利用机器学习技术优化无线体域网络中的信道分配，实现网络效率最大化
Internet Technology Letters Pub Date : 2023-07-11 DOI: 10.1002/itl2.458
V. C. S. Rao, M. Shanmathi, M. Rajkumar, S. Haleem, V. Amirthalingam, A. Vanathi
{"title":"Maximizing network efficiency by optimizing channel allocation in wireless body area networks using machine learning techniques","authors":"V. C. S. Rao, M. Shanmathi, M. Rajkumar, S. Haleem, V. Amirthalingam, A. Vanathi","doi":"10.1002/itl2.458","DOIUrl":"https://doi.org/10.1002/itl2.458","url":null,"abstract":"","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82735123","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
Semantic automatic annotation method based on artificial intelligence for electric power internet of things 基于人工智能的电力物联网语义自动标注方法
Internet Technology Letters Pub Date : 2023-07-02 DOI: 10.1002/itl2.455
Yaxi Jin, Yongkang Zhang, Weihao Xue, Pengfei Shen, Zhaoying Jin, Tao He
{"title":"Semantic automatic annotation method based on artificial intelligence for electric power internet of things","authors":"Yaxi Jin,&nbsp;Yongkang Zhang,&nbsp;Weihao Xue,&nbsp;Pengfei Shen,&nbsp;Zhaoying Jin,&nbsp;Tao He","doi":"10.1002/itl2.455","DOIUrl":"10.1002/itl2.455","url":null,"abstract":"<p>The development of the power Internet of Things is currently underway, and a proposal for a semantic Internet of Things based on artificial intelligence algorithms is made to address the challenges in obtaining prior knowledge for heterogeneous data fusion, improving the real-time performance of the ontology library, and enhancing the efficiency of manual labeling of instance object data in the power field. This proposal introduces an Automatic Semantic Annotation Method to provide an effective knowledge organization model for sensor systems. Data mining knowledge is utilized to drive ontology update and improvement, resulting in more accurate semantic annotation and enhanced machine understanding. Experimental results show that artificial intelligence algorithms can automatically extract concepts from sensory data and achieve automatic semantic annotation during ontology instantiation.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76506223","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
Editorial of the founder EiC “summing up 2022” 创始人EiC的社论“总结2022”
Internet Technology Letters Pub Date : 2023-07-02 DOI: 10.1002/itl2.456
L. Alfredo Grieco
{"title":"Editorial of the founder EiC “summing up 2022”","authors":"L. Alfredo Grieco","doi":"10.1002/itl2.456","DOIUrl":"https://doi.org/10.1002/itl2.456","url":null,"abstract":"Wiley’s Internet Technology Letters was born to provide an answer to contemporary Internet scientists always rushing behind topics that evolve more rapidly than ever before. Indeed, in the context of Internet technologies, new paradigms replace old ones year by year and, in some cases, month by month. Today’s cutting edge topics, including 6G and quantum communications, could be replaced shortly with a new wave of technologies that are just around the corner.","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50118157","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
Sports health information prediction system based on deep learning network 基于深度学习网络的运动健康信息预测系统
IF 0.9
Internet Technology Letters Pub Date : 2023-06-29 DOI: 10.1002/itl2.434
Juan Liu, Shan Wang
{"title":"Sports health information prediction system based on deep learning network","authors":"Juan Liu,&nbsp;Shan Wang","doi":"10.1002/itl2.434","DOIUrl":"10.1002/itl2.434","url":null,"abstract":"<p>This paper adopts the deep network model constructed the results of the training are used to explore the detection of sports, and to verify the deep learning network model from the perspective of reliability and feasibility. The experimental results in this paper show that the comprehensive performance evaluation index FM increased by 2.6%, Pr increased by 0.7%, and Re increased by 4.4%. Therefore, the deep residual network structure used in the DRNTL method proposed in this paper can effectively improve the generalization ability of the network. Through the learning of a large amount of labeled data, the model can be applied to the detection of other untrained complex scenes. The engineering of the moving target detection method is of great significance.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91492210","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 healthy nutrition suggestion model for indian women sports players & active youth using long short-term memory 利用长短期记忆为印度女运动员和活跃青年提供健康营养建议模型
IF 0.9
Internet Technology Letters Pub Date : 2023-06-27 DOI: 10.1002/itl2.452
Keerthana Ramaraj, Valliammal Narayan, Thookanayakanpalayam Thyagarajan Dhivyaprabha, Parthasarathy Subashini
{"title":"A healthy nutrition suggestion model for indian women sports players & active youth using long short-term memory","authors":"Keerthana Ramaraj,&nbsp;Valliammal Narayan,&nbsp;Thookanayakanpalayam Thyagarajan Dhivyaprabha,&nbsp;Parthasarathy Subashini","doi":"10.1002/itl2.452","DOIUrl":"10.1002/itl2.452","url":null,"abstract":"<p>Sports nutrition is the balanced diet or diet chart that helps to improve performance of sports persons. It is globally accepted that Indian foods are rich in nutrition. It is greatly preferred by yogis, gurus and dieticians to intake Indian foods in order to maintain a wellness and healthy lifestyle. Smart watches, wearable devices, mobile applications and digital portals are available to suggest foods to the sports persons. But software application based on Indian foods specifically for women athletes are not exists so far. In this paper an intelligent food recommendation system based on Long Short-Term Memory (LSTM) and LSTM with GRU is proposed to suggest meals for women athletes. LSTM has connections and it processes the entire sequence of data thus, it is week suitable for suggestion models. The performance of the model is validated using evaluation metrices and the result demonstrate its effectiveness.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77062933","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
Mental health analysis for college students based on pattern recognition and reinforcement learning 基于模式识别和强化学习的大学生心理健康分析
Internet Technology Letters Pub Date : 2023-06-26 DOI: 10.1002/itl2.453
Pengrui Zhi
{"title":"Mental health analysis for college students based on pattern recognition and reinforcement learning","authors":"Pengrui Zhi","doi":"10.1002/itl2.453","DOIUrl":"https://doi.org/10.1002/itl2.453","url":null,"abstract":"","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83916092","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
Track and field training information acquisition and feedback of the based wireless medical sensor network 基于无线医疗传感器网络的田径训练信息采集与反馈
IF 0.9
Internet Technology Letters Pub Date : 2023-06-26 DOI: 10.1002/itl2.442
Jinsong Wu, Pengfei Wen
{"title":"Track and field training information acquisition and feedback of the based wireless medical sensor network","authors":"Jinsong Wu,&nbsp;Pengfei Wen","doi":"10.1002/itl2.442","DOIUrl":"10.1002/itl2.442","url":null,"abstract":"<p>The real-time embedded system is a computer-based special-purpose intelligent computer system that meets the strict requirements of the application system for power consumption. With the development of the Internet era, people are increasingly using the Internet to obtain relevant information, while traditional data collection mainly relies on manual operations. Therefore, the collection, storage and transmission of track and field training information based on existing equipment and databases has become a research hotspot. Based on wireless medical sensor network, this paper proposes an efficient track and field training information collection and feedback system communication protocol for real-time transmission of various data of track and field athletes, and a real-time embedded system for data collection and storage. Through research and analysis, it is found that the collection and feedback of track and field training information based on wireless medical sensor network can improve the accuracy of collection by 8.625. This shows that the collection and feedback of sports training information based on wireless medical sensor network is feasible.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84081645","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
Data pricing with privacy loss compensation for cyber-physical systems: A Stackelberg game based approach 网络物理系统的数据定价与隐私损失补偿：基于 Stackelberg 博弈的方法
Internet Technology Letters Pub Date : 2023-05-21 DOI: 10.1002/itl2.443
Ming Yang, Honglin Feng, Xin Wang, Xiaoming Wu, Yunfei Wang, Chuanxu Ren
{"title":"Data pricing with privacy loss compensation for cyber-physical systems: A Stackelberg game based approach","authors":"Ming Yang,&nbsp;Honglin Feng,&nbsp;Xin Wang,&nbsp;Xiaoming Wu,&nbsp;Yunfei Wang,&nbsp;Chuanxu Ren","doi":"10.1002/itl2.443","DOIUrl":"10.1002/itl2.443","url":null,"abstract":"<p>The integration of sensors in cyber-physical systems has given rise to data markets, where data owners can offer their sensing data for sale to potential buyer. However, determining the optimal data price in such markets is a complex issue, which demands a careful consideration of the interests of all parties involved, as well as the potential privacy loss for data sellers. By taking privacy loss into account, this paper proposes a fair compensation model for data sellers and formulates the pricing problem as a Stackelberg game. An automatic data pricing algorithm is developed to calculate the optimal price maximizing the joint benefits of the data sellers and the buyer where the privacy loss of the data sellers are compensated reasonably. Numerical simulations validate the effectiveness of the proposed pricing model in balancing benefits and privacy loss.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86009629","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
Innovative approaches for enhancing English learning using fuzzy logic‐based intelligence assistant in the cloud platform 在云平台上使用基于模糊逻辑的智能助手来提高英语学习的创新方法
Internet Technology Letters Pub Date : 2023-05-18 DOI: 10.1002/itl2.444
Sheng-Fu Yang, Yue Hu, Dong Chen
{"title":"Innovative approaches for enhancing English learning using fuzzy logic‐based intelligence assistant in the cloud platform","authors":"Sheng-Fu Yang, Yue Hu, Dong Chen","doi":"10.1002/itl2.444","DOIUrl":"https://doi.org/10.1002/itl2.444","url":null,"abstract":"","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81206591","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
Efficient music analysis mechanism based on AI and IoT data mining 基于人工智能和物联网数据挖掘的高效音乐分析机制
Internet Technology Letters Pub Date : 2023-05-16 DOI: 10.1002/itl2.436
Minglong Wang, Daohua Pan
{"title":"Efficient music analysis mechanism based on AI and IoT data mining","authors":"Minglong Wang,&nbsp;Daohua Pan","doi":"10.1002/itl2.436","DOIUrl":"10.1002/itl2.436","url":null,"abstract":"<p>Chinese culture is depicted in a profound manner through opera music. With the advancements in deep learning and IoT technology, numerous studies have increasingly utilized neural networks to supersede conventional acoustic models. This paper explores the emotion classification of Qinqiang Opera through the utilization of cutting-edge research methods. Firstly, we improve the convolutional neural network and adopt the residual network model to increase the model's fitting and stability. Secondly, the attention mechanism is integrated to reinforce the expression of each weight information, allowing the network to differentiate feature information more effectively and elevating the overall performance of the network. Thirdly, we use five sensors to form a local Internet of Things to collect a large amount of Qin opera audio data for experiments. Finally, multiple experiments confirm the effectiveness of the proposed model in the emotional classification of Qinqiang Opera.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79566064","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
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