Yoonsik Uhm

Design and implementation of power-aware LED light enabler with location-aware adaptive middleware and context-aware user pattern

Recent advances in ubiquitous technologies facilitate location-aware and power-aware systems that can provide predefined services. Recent research efforts are based on control mechanisms for standby power reduction. Conventional systems are only designed for power reduction of the consumer electronics. However, due to their architectural limitations, the recent systems are not flexible with respect to LED light control for power reduction. We need to consider efficient autonomous power control based on intelligent devices and the power-aware service prediction in networked environments. In this paper, we propose a power-aware LED light enabler with light sensors, motion sensors and network interfaces. The LED light enabler also communicates with context-aware middleware using an intelligent power gateway that adaptively determines the optimal power control by analyzing user living patterns using sensing data obtained by devices. Our power-aware LED light enabler with adaptive middleware dynamically reconfigures the power-aware services. The proposed adaptive middleware facilitates the learning mechanism which analyzes the illumination and the user activity, and controls the LED lights only when users exist around the devices. Our enabler reduces power consumption up to 58% in comparison to a basic lighting system at the real office testbed.

Intelligent power management device with middleware based living pattern learning for power reduction

This paper presents design and implementation of intelligent power management devices using user location, user motion detection and user living patterns in home networks. Our design integrates the device to be controlled, the intelligent power management device (iPMD), and the adaptive light-weight middleware so that it can be used with minimal power consumption for a wide range of applications. iPMD which will be installed in every power outlet in a home, is made up of five blocks: the pyroelectric infrared (PIR) sensor circuit, the light sensor circuit, the microprocessor, the power meter with a LED display and the PLC module. iPMD detects if a human body enters the detection area or not. If there is no human body present, all controlled appliances are turned off and iPMDs help reduce standby power consumption. If there is, the iPMD detects the light intensity under the environment and maintains sufficient light by controlling the nearby lights. An iPMD transmits and receives the sensor data from nearby iPMDs so the IPG can control different lights and appliances in different regions. iPMDs also communicate with the lightweight middleware at an intelligent power gateway (IPG) that adaptively reason the optimal power control by analyzing user living pattern from the sensing data from devices. The experimental results obtained from the real apartments show that the total power consumption can be reduced up to 7.5 %.

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.

The multi-touch system with high applicability using tri-axial coordinate infrared LEDs

In these days, multi-touch technology becomes an important interface in various environments. However, most of multi-touch systems have a characteristic of low applicability so that it is difficult to apply to diverse applications. In this paper, we compare the main three methods of multi-touch systems, and analyze the pros and cons of these systems. By considering applicability and economical efficiency, we propose an infrared LED based system suitable to be used in multi users. To solve coordinate recognition problems in collinear in a 2-dimensional bi-axial coordinate system, we design a 2-dimensional tri-axial coordinate multi-touch system using infrared LEDs. The comparing result between two systems shows that the recognition rate in the biaxial coordinate system is 49 percent and the recognition rate in the tri-axial coordinate system is 99 percent.

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.

Development of portable intelligent gateway system for ubiquitous entertainment and location-aware push services

Intelligent gateway systems have evolved to seamlessly offer location-aware and multimedia services, allowing multi users to roam among multi service domains. In the past decade intelligent gateways have been implemented to support context-aware multimedia services with network convergence and service reasoning mechanisms in multi domains. However, recent researches have to consider multiple events and service management according to the users movements and requirements. Therefore, we propose a Portable Intelligent Gateway System (PIGS) to offer seamless device-independent multimedia services and location-aware push services. Using heterogeneous network convergence and utilizing cooperation between other gateways, the PIGS interconnects users (user devices) who want to be offered multimedia services and Service Providers (SPs). Furthermore, our system dynamically offers differential services to multiple users with respect to the user, device and location characteristics. The PIGS also collects events using embedded sensors and generates events used for service configuration along with service predictions by using light-weight middleware. In this paper we implement real testbed, a house and a car, and verify the effectiveness of the service reconfiguration. The portable gateway structure using the PIGS achieves a 22% faster service response time in comparison to a fixed gateway-based structure.

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.