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  • Home
  • About Us
  • Research
  • Program
    • WG1 Education for IMS
    • WG2 Human Resource Exchange
    • WG3 Workshops and Conferences
    • WG4 MOOC Based Training
    • WG5 QA & Feedback
  • Schedule
  • Achievements
  • Contact

Data Acquisition and Persistence

HomeData Acquisition and Persistence

Research

  • UI Management Layer
  • Engineering Support Layer
  • Knowledge Acquisition and Interferencing
  • Data Acquisition and Persistence
  • Service Integration Layer

Data Acquisition and Persistence

Objective 

Synchronization of heterogeneous medical sensor data for identification, analysis, and communication. Curation of context, raw sensory, environmental variables in large scale non-volatile in  large scale non-volatile persistence (Big Data) with CRUD operations. 

 

Features

1. Manage data communication from multiple medical / sensor devices

2. Identification, analysis, and processing of data

3. Storage of heterogenous data at real-time

4. Provisioning of raw-sensory data for non-volatile persistence for data driven knowledge generation

 

Uniqueness & Contribution

1. Active real-time monitoring for identification of critical vital signs

2. Push-based intimation to stakeholders for an alarming health condition

3. Structure data extraction for knowledge building context-aware dialogue management 

 

Detailed Architecture

 

 

 

The UCLab. at the Kyung Hee University is consisted of more than 30 Post-doc, Ph.D and Master students, working on research projects under the supervision of Prof. Sungyoung Lee, who studied in the field of ubiquitous systems.

Primary Address

Office of Prof. Sungyoung Lee(Room 313) Dept. of Computer Engineering, Kyung Hee University Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea

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