Hwa-Suk Kim

IoT learning model based on virtual object cognition

Intelligent service provisioning in the Internet of Things infrastructure can be achieved by discovering and composing most relevant virtual objects and autonomic modification of context information that require learning the system behavior through steady association between the virtual object and the real world object. To meet these challenges, Web-of-Objects enables the objects to be deployed, maintained and operated in the Internet of Things through virtualizing the real world objects with the use of semantic ontology. Learning model can be represented in terms of composite virtual object that is formed by combining multiple functionalities of virtual objects. Different functionalities at the virtual object level and their iteration enable the cognition in virtual object. The creation and functional architecture of virtual object in Web-of-Objects have been discussed. For the efficient discovery and composition of virtual object, a Web-of-Objects based learning model has been proposed in this paper. Finally, to realize the service composition, a use-case scenario has been studied.

Design of composite virtual objects for service entity creation in WoO based IoT environment

In recent years, physical things are becoming empowered with computation capabilities which enabled conversion of everyday objects into information appliances. Internet of Things (IoT) envisions a world where small intelligent objects around us that, through unique addressing schemes and standard communication protocols, are able to interact with each other and cooperate with their neighbors to reach common goals. Most of the IoT based applications are built based on the service provided by sensors and actuators. One of the most challenging task is to develop composition of these services and collaboration among these objects. To meet these challenges, Web of Objects (WoO) targets the implementation aspects of IoT to bring the assorted real world objects with web applications. The paper introduces a concept and design of Composite Virtual Objects (CVO) in WoO for IoT environment to compose services and to create collaboration among physical objects to build intelligent service features.

An Active Queue Management for QoS Guarantee of the High Priority Service Class

In this paper, we propose the active queue management mechanism (Active-WRED) for guaranteeing the quality of the high priority service class (VoIP or IPTV) in the multi-class traffic service environment. In the congestion situation, this mechanism increases the drop probability of the low priority traffic and reduces the drop probability of the high priority traffic; therefore it can guarantee the quality of the high priority service class from the poor quality by the packet loss.

A method to support multiple interfaces a mobile node in network-based mobility management

We propose a method to support handover between heterogeneous access technologies for multiple interface (MIF) mobile node (MN) in the Proxy Mobile IPv6 (PMIPv6) domain. We analyze the reduction of handover signaling cost in the proposed MAT method.

Implementation model of WoO based smart assisted living IoT service

In the avenue of smart assisted living there is a need for intelligent services that can make human life easier than ever before. To satisfy such a need, Web Objects allow the real world objects to be virtualized using semantic ontology, to empower the information reusability, extensibility, and interoperability; along with facilitating VO orchestration, federation and harmonized collaboration. This paper proposes a smart assisted living IoT service implementation model based on WoO platform that supports the development of assisting living applications.

Tracking moving objects for intelligent IoT service provisioning in web objects enabled IoT environment

In a ubiquitous environment, due to continuous change of location of objects, tracking a moving object is a challenging task in intelligent IoT service provisioning. Hence, web-based IoT services can be provided by discovering and allocating only those virtual objects that are directly relevant to current location of the moving object. A semantic ontology is used to virtualize real world objects for interconnection and interoperability among virtual objects in multiple domains. Allocating relevant virtual objects requires prediction of next location of the objects through applying machine learning algorithm. Analyzing service request, prediction and real world knowledge, service request parameters are adjusted to discover relevant virtual objects dynamically as stream-variable dependency. This paper proposes an architecture that supports discovering and allocating relevant virtual objects based on context-awareness to track moving objects.

Knowledge driven composition model for WoO based self-directed smart learning environment

Virtualizing the educational contents and resources as well as conceptual entities would form VOs and CVOs for WoO paltform. which provides dynamicity and intelligence through composition and collaboration for self-directed learning in smart learning environment. Semantic ontology in WoO platform supports dynamic composition and collaboration among objects, VO and CVO, for intelligent learning model. The paper proposes a realization architecture model of WoO patform to support the knowledge driven composition model to form a smart learning environment.

Method to Support Handover for Service Continuity based on IMS in Wireless LAN

This paper proposes a L3 handover method to minimize packet loss for supporting service continuity to IMS Terminal which has a single WLAN interface. The existing IMS based handover solution is able to support handover between different access networks in case that a terminal has multiple interfaces. That is, WLAN terminals need multiple interfaces to connect with one or more access networks. This proposed method configures IP address for the terminal in target WLAN previously by using Candidate Access Router Discovery(CARD) mechanism. Also, in the proposed method, service continuity server performs L3 connection establishment in target WLAN and registration to IMS server instead of the terminal. And then session control mechanism based on SIP is performed to support service continuity. We analyzed handover latency and signaling cost in the proposed method and existing method to show the improved performance by the proposed method.

Interoperability mechanism of ABR/ABT capability in ATM public networks

Available bit rate and ATM block transfer capabilities are the essential ATM transfer capabilities to be implemented in the public network in respect of the traffic characteristics and bandwidth utilization. Therefore, one of two ATM transfer capabilities is implemented in the public switching system and the other ATM transfer capability can be accommodated using the interoperability mechanism. In this paper, we propose the interworking and emulation methods for the interoperability of available bit rate/ATM block transfer capability depending on the closed-loop range of each ATM transfer capability and also propose the block cell rate re-negotiation with state dependent mechanism based on the common buffer with two thresholds when the public switching system has the ATM block transfer capability. We analyze the performance of the block cell rate re-negotiation with state dependent mechanism from the view points of the maximum queue length and bandwidth utilization.

A Bayesian sensor fusion scheme for attitude tracking

Accurate attitude tracking is a vital process in AR/VR applications. To satisfy its stringent requirement, multiple types of sensors, such as IMU and vision sensors, must cooperate, as each type of sensors has its own set of advantages complementing each other. However, fusion of different types of sensors is not a trivial task. We have previously proposed an attitude tracking algorithm using an IMU, which belongs to the category of recursive Bayesian filtering. In this paper, we propose a both theoretically reasonable and practically useful sensor fusion scheme based on Bayesian statistics, to extend and complement our previous algorithm. Implementation of our scheme for an AR application is also successfully done.