Zion Hwang

A Ubiquitous Computing Network Framework for Assisting People in Urban Areas

This paper presents a framework to address the combination of ubiquitous computing interests as an intelligent assisting location-aware service and development of its hardware and software systems. In our real testbed, the system can dynamically localize the areas of interest and adapt to changes in the ubiquitous intelligence landscape.

A Context-Aware Dynamic Service-Oriented System for Reconstructing Adaptive Services by the Management of Rule and Ontology

The context-aware system needs to reason and manage the dynamically changeable contexts for offering the user-centric services using the multi-agent systems. Therefore, our system is focused on the rule and ontology modification for dynamically offering the adaptive services according to the changes of environments and situations using the F-logic. This paper also proposes a context-aware dynamic service-oriented system (CADSOS) architecture which consists of the multi-agent system and context broker using the OSGi framework and SDOR engine based OntoStudio. We consider the delay time of the service reconstruction and rule modification in the reasoning engine using the policy of the service management. The evaluation of the system shows evidence that our system enhances the service response time for reasoning and managing the adaptive services. We can apply the various systems of ubiquitous computing environments by effectively offering the dynamically services.

Development of LED smart switch with light-weight middleware for location-aware services in smart home

In recent years, the home network has focused on service diversity and the intelligent enhancement of devices for providing user-centric services. Recent studies dealing with home network systems aggregate the sensor data and manage various devices for reasoning the adaptive services. However, home network systems, especially intelligent devices, are difficult to implement due to the high setup cost and the problems with interconnection among other devices in a home domain. Therefore, we consider the intelligent implementation of light switch present in whole spaces. We propose a LED Smart switch with light-weight middleware which provides location-aware service and pattern-based service prediction. The proposed switch with an embedded sensor manages active and passive events according to the sensor data analysis and the service reasoning. Furthermore, the LED smart switch locates the user and interconnects among other switches over a network connection. The smart switch using a LED display provides simple information service, such as weather forecast, stock information, and the light status, using icons and digitalized voices. To evaluate the efficiency of our switch, we implemented testbed, in a home and an office. Our switch reduces the service response time by up to 12% for our experiment.

An intelligent cloud-based energy management system using machine to machine communications in future energy environments

This paper proposes an intelligent cloud-based energy management system (iCEMS) using the M2M communications, considering the requirements of the future energy environment. We designed and implemented the iCEMS in the test bed. The proposed system reduces the power consumption of the test bed up to 22.5%.

A multi-resolution agent for service-oriented situations in ubiquitous domains

In recent years, the situation-aware system field, with service-oriented technologies, has experienced extraordinary development. However, situation-aware systems have yet to achieve widespread use for managing complex situations in ubiquitous domains. Most research focuses on developing context modeling, event recognition, mobility detection, and intelligent reasoning, which are only applicable to static applications in a specific small-scale domain such as a home network. Consequently, a user may experience undesired and unpredictable service interruptions owing to the systems failure to manage service conflicts due to the complex situations which involve a larger number of inter-dependent dynamic objects in multi-domains. A situation management system is required to support users in seamlessly receiving the best services available, while concurrently resolving possible conflicts through a combination of effective methods for situation modeling, recognition, prediction and decision. We propose a multi-resolution agent which provides service prediction and service convergence for enhanced user service reception. This is accomplished by using a dynamic policy modification and adaptive situation learning with activity patterns, through information fusion. The system recognizes possible service conflicts and predicts the adaptive services on complex, often incomplete and unpredictable, dynamic situations, when users roam among different domains requesting new services. We also present the performance results with a new metric, service satisfaction, to show that the proposed solution can support guaranteed services in unique situation management examples, in which possible conflicts are smoothly resolved in complex situations involving nomadic users.

A Context-Aware Multi-Agent System for Building Intelligent Services by the Classification of Rule and Ontology in a Smart Home

This paper proposes a context model which separates the upper and lower layer according to characteristic of each class using the Web Ontology Language (OWL). We also present a context-aware multi-agent system (CAMAS) architecture which provides the solution of policy problem using the classification of rule and implementation of a rule-based engine. We enhance the response time for offering adaptive services. We solve the policy conflict problem among users by using reasoning and privilege delegation.

An Urban Computing Framework for Autonomous Services in a U-City

We propose ubiquitous city context-aware service agent system (UCASS) architecture to bring the computing and networking systems into the center of daily urban life. We present a framework and development of hardware and software systems for the urban environments which could offer the key elements to build people-centric service platform. We also propose smart personal devices that provides intelligent assisting services. Our real testbed shows that our systems can dynamically localize the areas of interest and adapt to changes in the ubiquitous intelligence landscape.

Location-Aware multi-agent based intelligent services in home networks

The development of intelligent multi-agent systems involves a number of concerns, including mobility, context-awareness, reasoning and mining. Towards ubiquitous intelligence this area of research addresses the intersection between mobile agents, heterogeneous networks, and ubiquitous intelligence. This paper presents a development of hardware and software systems to address the combination of these interests as Location-Aware Service. Our architecture performs the intelligent services to meet the respective requirements. By adding autonomous mobility to the agents, the system becomes more able to dynamically localize around areas of interest and adapt to changes in the ubiquitous intelligence landscape. We also analyze some lessons learned based on our experience in using location-aware multi-agent techniques and methods.

A Context-Aware System Architecture for Dealing with the Emergency by the Community Service in Apartment

Ubiquitous technology has been developed in order to offer the adaptive services using the context of various devices and sensors. The user-centric service has been given a considerable attention in Ubiquitous computing. To be sure, there have been studies concerned specially with user-centric services, but it remains the problems to be explored with emergency situation and policy. Therefore, our system is focused on the improvement to helping people such as the elderly, young children, and the disabled according to the intelligent system architecture and application. Our system manages the service access and policy which consists of notification, association, privilege and privacy. We propose a context-aware, agent-based system architecture which performs the intelligent, comfortable and safety services to meet the respective requirements. We also propose a context model using the F-logic and an agent-based system using the OSGi. Moreover, the evaluation of the system shows evidence that our system enhances the query response time for offering adaptive services and improves the maximum 20% performance of service response time compared with the conventional system of the basic architecture and context model.

Service-Oriented Multi Agent Middleware Using Information Fusion and Service Prediction in Pervasive Environments

In the pervasive computing paradigm, there is a strong demand towards user-centric services based on the context and service management. For implementing the user-centric services recent researches on the service-oriented system is focused on the context recognition, analysis and reasoning. Furthermore, the service-oriented systems also need to manage the structural and hierarchical context model based on ontology including the situational and environmental contexts. These systems enhance the system scalability and increase the service diversity according to the service reasoning and the context analyzing. However, the conventional systems spend too much time and effort on the context analysis and the pattern learning. Moreover, the similarity of users, spaces, and service characteristics has not been adequately considered in the conventional systems. These facts reduce the effectiveness of the pattern learning and the service prediction. Therefore, we propose a Service-oriented Multi Agent Middleware which provides the information fusion and the group-based situation management for effectively managing the service prediction in pervasive environments. Our system dynamically analyzes the group-based situation and creates the novel services with patterns and policies. Our system reduces the service prediction delay up to 12% at the real home testbed and emulation system.