Near real-time medical data dissemination in m-Health

2012 ◽  
Author(s):  
Richard Lomotey ◽  
Rahnuma Kazi ◽  
Ralph Deters
Keyword(s):  
Real Time ◽  
Data Dissemination ◽  
Medical Data

scholarly journals OFCOD: On the Fly Clustering Based Outlier Detection Framework

Data ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Ahmed Elmogy ◽  
Hamada Rizk ◽  
Amany M. Sarhan
Keyword(s):  
Data Mining ◽  
Image Processing ◽  
Intrusion Detection ◽  
Real Time ◽  
Outlier Detection ◽  
Real World ◽  
Medical Data ◽  
Experimental Results ◽  
Real Time Applications ◽  
Real World Datasets

In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches have been developed to detect outliers. However they are by nature time consuming which restrict their utilization with real-time applications. Furthermore, outlier detection requests are handled one at a time, which means that each request is initiated individually with a particular set of parameters. In this paper, the first clustering based outlier detection framework, (On the Fly Clustering Based Outlier Detection (OFCOD)) is presented. OFCOD enables analysts to effectively find out outliers on time with request even within huge datasets. The proposed framework has been tested and evaluated using two real world datasets with different features and applications; one with 699 records, and another with five millions records. The experimental results show that the performance of the proposed framework outperforms other existing approaches while considering several evaluation metrics.

Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments

2011 ◽  
Vol 2 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Joe Hoffert ◽  
Aniruddha Gokhale ◽  
Douglas C. Schmidt
Keyword(s):  
Quality Of Service ◽  
Embedded Systems ◽  
Real Time ◽  
Data Dissemination ◽  
Response Times ◽  
Dynamic Environments ◽  
Power Grids ◽  
Disaster Relief Operations ◽  
Relief Operations

Quality-of-service enabled publish/subscribe (pub/sub) middleware provides powerful support for scalable data dissemination. It is difficult to maintain key quality of service properties (such as reliability and latency) in dynamic environments for distributed real-time and embedded systems (such as disaster relief operations or power grids). Managing quality of service manually is often not feasible in dynamic environments due to slow response times, the complexity of managing multiple interrelated quality of service settings, and the scale of the systems being managed. For certain domains, distributed real-time and embedded systems must be able to reflect on the conditions of their environment and adapt accordingly in a bounded amount of time. This paper describes an architecture of quality of service-enabled middleware and corresponding algorithms to support specified quality of service in dynamic environments.

scholarly journals Telemedicine and Plastic Surgery: A Pilot Study

2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Denis Souto Valente ◽  
Luciano Silveira Eifler ◽  
Lauro Aita Carvalho ◽  
Gustavo Azambuja Pereira Filho ◽  
Vinicius Weissheimer Ribeiro ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Real Time ◽  
Learning Experience ◽  
Medical Data ◽  
Descriptive Statistics ◽  
The Internet ◽  
Access To Education ◽  
Transmission Of Information ◽  
Quality Of Transmission

Background. Telemedicine can be defined as the use of electronic media for transmission of information and medical data from one site to another. The objective of this study is to demonstrate an experience of telemedicine in plastic surgery. Methods. 32 plastic surgeons received a link with password for real-time streaming of a surgery. At the end of the procedure, the surgeons attending the procedure by the Internet answered five questions. The results were analyzed with descriptive statistics. Results. 27 plastic surgeons attended the online procedure in real-time. 96.3% considered the access to the website as good or excellent and 3.7% considered it bad. 14.8% reported that the transmission was bad and 85.2% considered the quality of transmission as good or excellent. 96.3% classified the live broadcasting as a good or excellent learning experience and 3.7% considered it a bad experience. 92.6% reported feeling able to perform this surgery after watching the demo and 7.4% did not feel able. 100% of participants said they would like to participate in other surgical demonstrations over the Internet. Conclusion. We conclude that the use of telemedicine can provide more access to education and medical research, for plastic surgeons looking for medical education from distant regions.

Real-time data dissemination in mobile peer-to-peer networks

2014 ◽  
Vol 90 ◽  
pp. 179-190 ◽  
Author(s):  
Fotis Loukos ◽  
Helen Karatza ◽  
Vana Kalogeraki
Keyword(s):  
Real Time ◽  
Data Dissemination ◽  
Peer To Peer ◽  
Peer Networks ◽  
Time Data ◽  
Peer To Peer Networks ◽  
Real Time Data

Performance Evaluation of Transport Protocol in Data Distribution Service Middleware

2014 ◽  
Vol 926-930 ◽  
pp. 1984-1987
Author(s):  
Peng Wei Li ◽  
Hong Li Zhao ◽  
Hai Tao Yang ◽  
Shu Sun
Keyword(s):  
Quality Of Service ◽  
Performance Evaluation ◽  
Real Time ◽  
Data Dissemination ◽  
Data Distribution ◽  
Transport Protocol ◽  
Latency Jitter ◽  
The Common ◽  
Data Distribution Service

The DDS middleware provides powerful support for data dissemination in the distributed real-time and embedded (DRE) systems, and supports multiple transport protocol (e.g. TCP, UDP and Multicast) that affect the end-to-end quality of service (QoS) properties (e.g. latency, jitter and reliability).In order to evaluate the performance of the transport protocol and then evaluate the affection on the DDS middleware QoS, this paper first briefly compares the common DDS implementations, and then presents performance evaluation and analysis of the transport protocol in OpenDDS with different environment configurations, at last presents the conclusion.

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