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Optimization of Data Processing System for Exercise and Fitness Process Based on Internet of Things

Yiming Wang, Xidan Gong, Wei Wang
2021 Wireless Communications and Mobile Computing  
Based on the cutting-edge Internet of Things technology, this thesis focuses on the development and application of a new generation of digital fitness equipment adapted to future development, advocating  ...  The construction of an IoT fitness cloud service platform and data management system integrates the application of IoT, cloud computing, mobile communication, and other technologies to make IoT fitness  ...  Communications and Mobile Computing Figure 1 : 1 Digital recommendation system based on IoT.  ... 
doi:10.1155/2021/7132301 fatcat:ah2mdnm4qjfhbdygridwwvs7ge

Intelligent computational techniques for multimodal data

Shishir Kumar, Prabhat Mahanti, Su-Jing Wang
2019 Multimedia tools and applications  
malicious nodes, Multimedia based fast face recognition, Diversifying personalized mobile multimedia application, Multimedia image edge extraction algorithm, Rumour veracity detection.  ...  This guest editorial introduces the special issue on "Intelligent Computational Techniques for Multimodal Data".  ...  The experience of serving as Guest Editors for this special issue on "Multimedia Tools and Applications" is excellent in form of analysing the topics relevant to the theory and practice of intelligent  ... 
doi:10.1007/s11042-019-07936-z fatcat:icmwanpmgbd77cdv47nminn4ee

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and  ...  processing, augmentation, optimization, and system intelligence enhancement.  ...  -Mobility: such as on aircraft flight plans and trajectories, and mobile phone call-based human mobility.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

DESIGN AND IMPLEMENTATION OF SCENIC INTELLIGENT GUIDE SYSTEM BASED ON WECHAT APPLET

J. W. Li, X. Li, J. W. Jiang, N. Yu, Y. Ma, W. D. Chen
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
on WeChat applet was designed and developed.Firstly, the overall architecture of the intelligent tour guide system is designed, including the basic data end, the network transmission end, the WeChat platform  ...  incomplete information acquisition, low visit efficiency and poor travel experience in the traditional tourism mode, under the background of the widespread use of WeChat, the intelligent guide system based  ...  Attractions recommendation function : The The attraction recommendation function is a new application based on location service.  ... 
doi:10.5194/isprs-archives-xlii-3-w10-457-2020 fatcat:qvu2etma7nfebgekejuf7s7m7i

Optimization of the Personalized Service System of University Library Based on Internet of Things Technology

Yi Zhuang, Wei Wang
2021 Wireless Communications and Mobile Computing  
Analysis of the characteristics and principles of regional library consortium information resource sharing is in the context of IoT and the corresponding studies on information sharing between regional  ...  Personalized Service Optimization in the Context of IoT.  ...  Smart recommendation is similar to the information retrieval system represented by search engine, but with more emphasis on personalized, diversified, and novel recommendation results.  ... 
doi:10.1155/2021/5589505 fatcat:frlekqymozhovokcjn7o2znzlq

Table of contents

2021 IEEE transactions on intelligent transportation systems (Print)  
Pereira Diversified Personalized Recommendation Optimization Based on Mobile Data ............................................ ..........................................................................  ...  Miao SPECIAL ISSUE ON PUBLIC TRANSIT PLANNING AND OPERATION IN THE ERA OF AUTOMATION, ELECTRIFICATION, AND PERSONALIZATION GUEST EDITORIAL Public Transit Planning and Operation in the Era of Automation  ... 
doi:10.1109/tits.2021.3067407 fatcat:pl4edrxprzbvtjnhubkpt7flvm

Education Data-Driven Online Course Optimization Mechanism for College Student

Ziqiao Wang, Ningning Yu, Jianhui Lv
2021 Mobile Information Systems  
Based on the big data mining of online course evaluation data, the online course evaluation optimization architecture based on process evaluation is proposed.  ...  The optimization of online course evaluation is analyzed from online course evaluation data and student comments using deep learning and collaborative filtering technology.  ...  Section 4 presents a personalized exercise recommendation method based on knowledge tracing.  ... 
doi:10.1155/2021/5545621 fatcat:cfbu4fpdgfawpj4zd6lz6hlb3q

ICDE conference 2015 detailed author index

2015 2015 IEEE 31st International Conference on Data Engineering  
Graph-Based RDF Triple Store S continues on next page… [Search] A B C D E F G H I J K L M N O P Q R S T U V W X Y Z To-MoVis: Developing a Mobility Visualization System from CDR Data Memory BLU Acceleration  ...  Satellite Data Dai, Jian 543 Personalized Route Recommendation Using Big Trajectory Data Damme, Patrick 1460 Enjoy FRDM -Play with a Schema-Flexible RDBMS Das, Dinesh 1253 Oracle Database  ... 
doi:10.1109/icde.2015.7113260 fatcat:ep7pomkm55f45j33tkpoc5asim

Benefits of Using Mobile Applications to Keep Under Control, Detect, Attenuate and Monitor COVID-19 Pandemic

Cristian Vladoescu, Marius Tunea, Loredana Stanciu
2020 2020 International Conference on e-Health and Bioengineering (EHB)  
This article, also, analyzes the importance of developing a mobile application for managing COVID-19 pandemic, what solutions and benefits it brings, how to optimize the process of monitoring compliance  ...  with the recommendations and limitations to prevent the spread of the new coronavirus.  ...  There can be a moral discussion regarding the aspect of continuously monitoring the people using the app, but authors consider that if a person installs the app based on its free will and knowing this  ... 
doi:10.1109/ehb50910.2020.9280229 fatcat:33oo665dh5axjejh22x4uwetsu

Design and Development of Mobile Learning Platform Based on Android for College Physics Experiment Courses

YUNJU CHANG, XUESONG LENG, GUOWAN MU, HANYU QIN, GUANG SU, ZHIHENG YANG, KUIYU LAN
2018 DEStech Transactions on Computer Science and Engineering  
Mobile learning, based on digital learning, combines mobile computing technology effectively and brings new feelings for learners to learn independently anytime and anywhere.  ...  Through the survey found that the APP mobile learning platform based on mobile terminal "Physics Experiment Station For University of Science and Technology of Liaoning" popular among students, it not  ... 
doi:10.12783/dtcse/iceiti2017/18935 fatcat:yynud7rlqnfdvoqdbxopazw6zi

Mobile app recommendations with security and privacy awareness

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
Then, we propose a flexible approach based on modern portfolio theory for recommending Apps by striking a balance between the Apps' popularity and the users' security concerns, and build an App hash tree  ...  To facilitate the choice of mobile Apps, existing mobile App recommender systems typically recommend popular mobile Apps to mobile users.  ...  Recommendation Performances Since our App recommender system is non-personalized, there is no personal data could be used for evaluation.  ... 
doi:10.1145/2623330.2623705 dblp:conf/kdd/ZhuXGC14 fatcat:jxsw4hnyejejbb3x7darf6u3te

Guest Editorial Diversification in Urban Transportation Systems and Beyond: Integrating People and Goods for the Future of Mobility

Antonio Bucchiarone, Sandro Battisti, Teresa Galvao Dias, Philip Feldman
2021 IEEE transactions on intelligent transportation systems (Print)  
In particular, the understanding of mobile data flow in smart cities for the recommendation of better mobility habits for people is a key business opportunity for public and private partnerships.  ...  Examples of such technologies are the dynamic introduction of fares, and the application of artificial intelligence technologies based on big-data analytics and crowdsourcing [2] , [3] .  ... 
doi:10.1109/tits.2021.3067410 fatcat:kuuetlenjfdxnmiuxeaqwitcnu

Communicative-Associative Development of Smart Artificial Intelligence by Criteria with Help of Ensembles of Diversified Agents

Evgeniy Bryndin
2020 International Journal of Intelligent Information Systems  
Then, based on the criteria of utility and preference, the final result is obtained based on the conclusions of diversifying agents. This approach increases accuracy.  ...  Cognitive virtual smart artificial intelligence author proposes developing by ensembles of diversified agents with strong artificial intelligence based on communicative-associative logic by recurring development  ...  Technological smart artificial intelligence can detect novelty on the principle of opposite (optimal-not optimal; effective-not effective; dangerous-safe, etc.) method from nasty based on objective conditions  ... 
doi:10.11648/j.ijiis.20200904.11 fatcat:ebhvei3nmrbq7lppnkcjksltsu

Diversifying Group Recommendation

Nguyen Thanh Toan, Phan Thanh Cong, Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Bela Stantic
2018 IEEE Access  
The core of recommender systems are the recommendation mechanisms, which suggest to a user a selected set of items supposed to match user true intent, based on existing user preferences.  ...  In some scenarios, the items to be recommended are not intended for personal use but a group of users.  ...  DIVERSIFY GROUP AGGREGATION In this section, we present the optimization solution for diversified group recommendation problem.  ... 
doi:10.1109/access.2018.2815740 fatcat:eznswqtbijas7mawdfjsfytdqu

Mobile App Start-up Prediction Based on Federated Learning and Attributed Heterogeneous Network Embedding

Shaoyong Li, Liang Lv, Xiaoya Li, Zhaoyun Ding
2021 Future Internet  
At present, most mobile App start-up prediction algorithms are only trained and predicted based on single-user data.  ...  In this paper, we propose a mobile App start-up prediction method based on federated learning and attributed heterogeneous network embedding, which alleviates the cold start problem of new users or new  ...  Funding: This research received no external funding Data Availability Statement: Not Applicable, the study does not report any data.  ... 
doi:10.3390/fi13100256 fatcat:4z6w26gqtfa75djdwdv5obrnuq
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