J. Ubiquitous Syst. Pervasive Networks最新文献_第3页

Usability Study of a comprehensive table tennis AR-based training system with the focus on players' strokes 以选手击球为重点的基于ar的乒乓球综合训练系统的可用性研究

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2020-10-01 DOI: 10.5383/juspn.13.01.001

Habiba Hegazy, A. Nabil, Mohamed Abdelsalam, M. Hussien, Seif Elmosalamy, Yomna M. I. Hassan, Ayman Atia

引用次数: 9

iKarate: Karate Kata Aiding System 空手道:空手道辅助系统

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2020-04-01 DOI: 10.5383/juspn.12.02.004

Bassel Emad, O. Atef, Yehya Shams, A. El-Kerdany, Nada Shorim, A. Nabil, Ayman Atia

引用次数: 0

Smart Logistics: Blockchain trends and applications 智能物流:区块链趋势和应用

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2020-03-01 DOI: 10.5383/juspn.12.02.002

Y. Issaoui, Azeddine Khiat, Ayoub Bahnasse, H. Ouajji

引用次数: 16

A Scalable Digital Infrastructure for Sustainable Energy Grid Enabled by Distributed Ledger Technology 分布式账本技术支持的可持续能源网可扩展数字基础设施

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2020-03-01 DOI: 10.5383/juspn.12.02.003

R. Rahmani, Yuhong Li

{"title":"A Scalable Digital Infrastructure for Sustainable Energy Grid Enabled by Distributed Ledger Technology","authors":"R. Rahmani, Yuhong Li","doi":"10.5383/juspn.12.02.003","DOIUrl":"https://doi.org/10.5383/juspn.12.02.003","url":null,"abstract":"The future of renewable energy transportation and distribution is dynamic and complex, with distributed renewable resources in required distributed control. It is suggested that Distributed Ledger Technology (DLT) is a timely innovation with the potential to facilitate this future. The transition to full renewable energy requires an infrastructure capable of handling intermittent production that has a low marginal cost. This requires a distributed control logic where devices with embedded intelligence coordinate local production, a decentralized energy market where prices are not primarily based on production, and an underlying digital infrastructure to enable both. Simulations and experiments have demonstrated great potential in such a digital infrastructure, but real-life tests have identified scalability as a remaining challenge. In this paper, we propose a DLT-based architecture for the energy grid with the development of existing solution concepts by implementing scalability solutions. To this end, we derive energy market components as a framework for building efficient microgrid. Then, we discuss the microgrid as a case study of such a market according to the required components within energy production, transmission, and distribution; distributed ledger platform operations, IoT device manufacturing,; software development; and research in IoT, edge and cloud computing, and energy systems.","PeriodicalId":376249,"journal":{"name":"J. Ubiquitous Syst. Pervasive Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757858","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: 5

Quality and Security in Big Data: Challenges as opportunities to build a powerful wrap-up solution 大数据中的质量和安全:挑战即机遇，构建强大的综合解决方案

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-11-15 DOI: 10.5383/juspn.12.01.002

Mohamed Talha, Nabil Elmarzouqi, A. A. E. Kalam

引用次数: 6

Various Methods for Fraud Transaction Detection in Credit Cards 信用卡欺诈交易检测的各种方法

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-11-15 DOI: 10.5383/juspn.12.01.004

Hardik Manek, Nikhil Kataria, Sujai Jain, Chitra Bhole

{"title":"Various Methods for Fraud Transaction Detection in Credit Cards","authors":"Hardik Manek, Nikhil Kataria, Sujai Jain, Chitra Bhole","doi":"10.5383/juspn.12.01.004","DOIUrl":"https://doi.org/10.5383/juspn.12.01.004","url":null,"abstract":"Cashless payments have become effortless with the advent of new technology and the internet. But, for online transactions, you don't have to be in a certain place where the transaction occurs, making it vulnerable to fraudulent attacks. A cyber-attacker can pretend to be the owner of a credit card and make a fraudulent transaction. There are several techniques to determine the nature of the transaction, for instance, by comparing the current transaction with previous transactions. If the monetary difference between current transaction and previous transaction is too large, then there is a greater probability of current transaction being a fraudulent transaction. This method is not reliable for anomaly detection. In some countries like India and China, banks deploy a two-step verification process which strengthens the security of the transaction. While in other countries, employees in the bank manually segregate the transactions to be fraud or not. These methods are highly dependent on human intervention. Machine Learning can be utilized to automate the process of anomaly detection. Supervised algorithms such as Logistic Regression can be used to build a model that will predict the output in the form of binary classes i.e. 0 for a valid transaction and 1 for a fraudulent transaction. Autoencoder Neural Network is one of the unsupervised algorithms using which better accuracy can be obtained for anomaly detection. In this paper, we explain different machine learning algorithms viz; Hidden Markov Model, Artificial Neural Network, and Convolutional Neural Network. Moreover, Logistic Regression is implemented, and the results obtained are highlighted.","PeriodicalId":376249,"journal":{"name":"J. Ubiquitous Syst. Pervasive Networks","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545797","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

Insight into PDP challenges of data transfer in wireless mobile devices 洞察无线移动设备中数据传输的PDP挑战

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-11-15 DOI: 10.5383/juspn.12.01.003

Tomáš Pikulík, P. Štarchoň

引用次数: 1

An inexpensive wireless smart camera system for IoT applications based on an ARM Cortex-M7 microcontroller 基于ARM Cortex-M7微控制器的物联网应用廉价无线智能摄像头系统

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-06-10 DOI: 10.5383/JUSPN.11.02.001

Marcel Tresanchez Ribes, Alex Pujol, T. Pallejà, David Martínez, Eduard Clotet, J. Palacín

引用次数: 6

Optimizing Web Service Composition with Graphplan and Fuzzy Control 用Graphplan和模糊控制优化Web服务组合

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-06-10 DOI: 10.5383/JUSPN.11.02.003

Guodong Fan, Ming Zhu, Xiaoliu Cui

引用次数: 0

Green Service Level Agreement Compliance for Optical WDM Networks 光WDM网络的绿色服务水平协议遵从性

J. Ubiquitous Syst. Pervasive Networks Pub Date : 2019-06-10 DOI: 10.5383/JUSPN.11.02.002

Yashar Fazili, B. Robertson, W. Phillips

引用次数: 0