Sumi Song

Smart learning services based on smart cloud computing.

Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.

Intelligent Smart Cloud Computing for Smart Service

The cloud computing technology causes much attention in IT field. The developments using this technology have done actively. The cloud computing is more evolved than the existing offer. So, the current cloud computing only has a process that responds user requirements when users demand their needs. For intelligently adapting the needs, this paper suggests a intelligent smart cloud model that is based on 4S/3R. This model can handle intelligently to meet users needs through collecting user’s behaviors, prospecting, building, delivering, and rendering steps. It is because users have always mobile devices including smart phones so that is collecting user’s behavior by sensors mounted on the devices. The proposed service model using intelligent smart cloud computing will show the personalized and customized services to be possible in various fields.

A Study of Collaboration Service Model for Supporting Functional Resources in Smart Device

This research aims to propose new direction of mobile collaborative service by supplying functional supports which surpass data resource in smart devices. In this paper, we present Smart Collaboration Service Model that supports two types of collaboration, so called Supplying Collaboration and Sharing Collaboration. This model is a platform for supporting the resources as follows; sharing of data contact in other devices and supplying of special functions, like camera operation and picture transmission from other devices. To show its applicability, a prototype of Smart Collaboration Service Model has been implemented in the Android application for exchanging contact data and renting camera function. We expect that Smart Collaboration Service Model is to help the emergence for a new type of collaboration service. Also, user can reduces resource wastes for device as well as form personal smart space by utilizing all devices owned.

A Study of SCAP System for Efficiency Collaboration of Multi-devices

Smart device has the advantages of the littleness and lightness. On the other hand, it also has the lack of computing power and specification compared to the fixed computers. Even though these disadvantages are actively resolved through mobile cloud services, are complementary. The services also provide a simple Storage-space, Data-transmission based on network. So, customers who want more functionality and computing capabilities re-purchase the expensive smart devices which are developed and released continuously. In these circumstances, the study of collaborative service model is attracting attention to supply ability to mobile device which has lack with existing devices with mobile cloud computing. In this paper, the collaborative service system model (Smart Collaboration Application Platform: SCAP) is proposed for multiple devices to form a working group for sharing each of functions and data based on mobile cloud service.

A Service Recommended Model Based on User Scenario Using Fusion Context-Awareness

Today, the device that used repeatedly is smart phone during your daily life continued. In addition, the smart phones can be equipped with various sensors. These features are take advantage of the smart phone. So we propose the more efficient and proactive service model than now. This model is gathering the various information of user with smart phone. Then, the information collected is made to the scenario depending on time, location, action based on the Fusion process. This paper is proposed a service recommendation model based on user scenario using Fusion context-aware. This model is the making user-scenario based on context-aware. The scenarios can help predict a users situation and provide the services in advance. Also, content categories as well as the content type are determined depending on the scenario. The scenario is a method for providing the best services as well as simply judgment for users situation. Using this method the proposing new service model with context-aware is the goal of this paper.