1. Smart Learning Services Based on Smart Cloud Computing
Svetlana Kim, Su-Mi Song and Yong-Ik Yoon
Department of Multimedia Science, Sookmyung Women’s University, Chungpa-Dong 2-Ga,Yongsan-Gu , Seoul, Korea
Communication: Smart Learning Services Based on Smart Cloud Computing ; Sensors 2011, 11(8),
Present : 陳政宇
Date：2012/06/01

2. Abstract
Context-aware technologies can make e-learning services smarter and more efficient
a service architecture model is needed
We suggest the elastic four smarts (E4S)
smart pull, smart prospect, smart content, and smart push
The E4S focuses on meeting the users’ needs
provides personalized and customized learning services

3. Outline 1. Introduction 2. Smart Cloud Computing 3. The SCC
4. Implementation
5. Conclusion

4. 1. Introduction(1/4) Traditionally e-learning were limited
Smart learning
offers personalized contents, easy adaptation , convenient communication environment and rich resources
still not complete

5. 1. Introduction(2/4) For example To resolve this problem
not allocate necessary computing resources
difficulty in interfacing and sharing data with other systems
duplication and low utilization of existing teaching resources
To resolve this problem
use cloud computing to support resource management

6. 1. Introduction(3/4) cloud computing environment provides
the necessary foundation
integration of platform and technology
integrates teaching and research resources distributed over various locations
anywhere at anytime

7. 1. Introduction(4/4)
the existing cloud computing technologies are only passively responsive to users’ needs.
propose a smart cloud computing (SCC) model for smart learning contents through the E4S
SCC can provide
customized contents to each user

8. 2. Smart Cloud Computing(1/3)
The SCC for short based on E4S has the capability to
provide a smart learning environment.
encourages learning system standardization and provides a means for managing it.

9. 2. Smart Cloud Computing(2/3)
A traditional e-learning system can
display single content on a single device
or multiple contents on one device.
 The SCC can
deliver s-learning to the users so they can use multiple devices to render multi learning contents.
 The multi learning contents can be played in different devices separately to form a “virtual class”.

10. 2. Smart Cloud Computing(3/3)
 For this, the SCC uses context-aware sensing.
Sensing through the location and IP address of each device.
Each customized learning contents may differ in modality (i.e., text-based, audio, video, etc.), capability (i.e., bandwidth), and timing (i.e., types of synchronization).

12. 3. The SCC 3.1. Context-Aware Module 3.2. The Elastic 4S (E4S) System
Smart Pull
Smart Prospect
Smart Content
Smart Push

13. 3.1. Context-Aware Module(1/3)
The context-aware model
must automatically deduce the actual situation from the user’s behavior.
based on a hybrid situation that consists of the user situation and the physical situation.
includes static factors and dynamic factors that describe the hybrid situation.

14. 3.1. Context-Aware Module(2/3)

15. 3.1. Context-Aware Module(3/3)

16. 3.2. The Elastic 4S (E4S) System
Smart Pull
Smart Prospect
Smart Content
Smart Push

17. Smart Pull(1/3)
The Smart Pull identifies a right action service in fusion learning DB based on the user action in context model.
The fusion learning DB consists of various multimedia learning materials such as video, text, PPT and image scattered in different learning DB.

18. 3.2.1. Smart Pull(2/3) For Example
a user action in the context model requests the topic of “multimedia”
The Smart Pull extracts a related action of “multimedia” in fusion learning DB

19. Smart Pull(3/3)

21. Smart Prospect(1/3)
The Smart Prospect is mainly responsible for describing the contents in ActionNo
time, memory, resolution and supported application types.
To access the information in ActionNo, the Smart Prospect uses a Semantic Description using of UVA (Universal Video Adaptation) model that has been developed by Yoon

22. 3.2.2. Smart Prospect(2/3) The UVA model The Semantic Description
uses the video content description in MPEG-7 standard and MPEG-21 multimedia framework.
The Semantic Description
provides the accurate and meaningful information for the fusion content.
uses XML, ontology and Resource Description Framework (RDF) that help define fusion content clearly and precisely.
also represents systematic information about the contents.

23. 3.2.2. Smart Prospect(3/3) The role of the ontology
formally describe the shared meaning of vocabulary used.
describes the basic fusion learning contents of some domain (e.g., history of science).
includes the relations between these concepts and some basic properties.
Based on the ontology, all learning content in the ActionNo are associated each other.
For example, the description of the video content used in semantic description can be related to the scenes of video.

24. represents playback time of the entire video content
indicates supporting types for some application, such as video, image, PPT or text.
specifies memory and resolution information of video content, respectively
represents the playback time of a shot in the video content

26. Smart Content (1/3)
The Smart Content generates the fusion content for the user’s device using the harmony adaptation.
The harmony adaptation has two steps
Fusion Content Adaptation
presents the synchronization among the fusion contents in ActionNo.
Device Synchronization process
performs the process of synchronization between devices.

27. Smart Content (2/3)
The process of synchronization between multiple devices
creates a channel for each device
the fusion contents can be played on multi devices at the same time
The Device Synchronization uses SyncML (Synchronization Markup Language) to set the synchronization between devices.

28. 3.2.3. Smart Content (3/3) The SyncML
an international standard language
matching data between different devices and applications at any network company .
Through the synchronization between devices, the adapted contents can be used in Smart Push step.

30. Smart Push (1/2)
As for the content delivery, the situation analyzer will be used.
the situation analyzer
uses the physical situation information to find the related details of the contents and devices
If the details of a device and contents are the same, a link can be established

31. Smart Push (2/2)
The Smart Push delivers a complete set of smart contents to the user using terminal’s AP (Access Point) and MAC-Address

33. 4. Implementation (1/2) fusion content generation and synchronization
shows a synchronization of the video and audio
can be played in the preview
the progress of the synchronization
shows the synchronization with other fusion media

34. 4. Implementation (2/2)
delivered the synchronized fusion media to two different devices

35. 5. Conclusions
In this paper, we have introduced the use of context-awareness for user behavior and a way to deliver the corresponding contents to the users.
As a future work, the protocols for smart cloud computing and domain specific ontology will be investigated.