Do-Hyeun Kim

Animal Situation Tracking Service Using RFID, GPS, and Sensors

With the technology of sensor, RFID, and GPS, many researches are recently being carried out on monitoring animal behavior and interactions with the environment. Plus, the technology is applicable to develop new zoological systems for animal trace ability, identification, and anti-theft. Yet, there is a lack of studies of providing zoos with intelligent animal tracking and management services based on RFID, GPS, and sensors. Accordingly, in this paper, we propose an intelligent animal situation tracking service for zoological gardens, based on GPS, RFID, and sensors. Firstly, we present a service scenario of animal situation tracking and introduce the tracking system configuration. The proposed system can provide real-time animal situation information such as the current location, bodily temperature, and pictures. Plus, it can track the animals based on the information even when they escape their cages. Next, we design and implement a prototype of the proposed animal situation tracking system.

OD-MAC: An On-Demand MAC Protocol for Body Sensor Networks Based on IEEE 802.15.4

A body sensor network (BSN) is a network of sensors that sense vital signs of a human body. The vital signs can be divided into two categories based on significance to the life: critical and non-critical signs. The critical vital signs, or real-time messages (RTMs), should be transmitted within the deadlines, and they must not be collided. On the other hand, the non-critical signs, or non-real-time messages (NRTMs), are required to be delivered with the best effort. In this paper, an on-demand MAC (OD-MAC) is proposed for BSN to provide real-time transmission, collision avoidance, and energy efficiency. The protocol is developed on IEEE 802.15.4 standard, and some specifications are modified to support those requirements. The OD-MAC changes the superframe structure dynamically to schedule RTMs and NRTMs. Those messages request bandwidth, and the network coordinator adaptively changes beacon interval and allocates slots to the messages. For evaluating the performance, duty cycle according to required utilization, delivery ratio, and energy efficiency are analyzed with simulations using NS2.

Effective and Comfortable Power Control Model Using Kalman Filter for Building Energy Management

In building environment energy management is a big problem in recent years. Several methods and proposals exist in the literature for energy management, but the trade-off between occupants comfort level and energy usage is still a major challenge and remained unresolved. In this paper, we propose power control model for comfortable and energy saving using fuzzy controller and Kalman filter. We have given focus in two directions simultaneously: first is to maximize the occupants comfort level and second is to control the usage of the power. To achieve these tasks, first we implement fuzzy logic to control the environment and second, we predict the consume power using Kalman filter. The parameters we consider are temperature, illumination and air quality. At the end of the paper we compare the power consumption results in case of prediction and with no prediction. The results proved the effectiveness of the proposed technique in obtaining the solution for the aforementioned problems.

Optimized Power Control Methodology Using Genetic Algorithm

Providing an energy efficient environment to the occupants of the residential buildings is an interesting area of research. In the literature a number of techniques have been proposed for energy management, but the trade-off between users comfort index and energy consumption is still a challenge and unsolved. Previously we have proposed PSO based power control methodology. Our technique achieved good performance up-to some extent. In this paper, we propose an improved optimized power control methodology for occupants comfort index, energy saving and energy prediction using genetic algorithm (GA). Our proposed GA based optimized technique improved the occupants comfort index and consumed minimum power as compare to our previous work. Here our focus is to increase occupants comfort index, minimize energy consumption and comparison of power consumption using GA and PSO based predicted systems. GA based predicted system consumed less power as compare to its counterpart PSO based predicted system. The output and comparative results show the efficiency of the proposed method in increasing the occupant’s comfort index and minimizing energy consumption.

An indoor location tracking based on mobile RFID for smart exhibition service

Recently, various smart application services have been developed using GPS (Global Positioning System), RFID (Radio Frequency IDentification) and sensor networks. The GPS has been successfully applied for outdoor location tracking by many applications, but it might still be insufficient in an indoor environment where GPS signals are often severely obstructed. The RFID technology has been utilized to play an important role in location tracking for indoor smart applications. Therefore, in this paper, we present the scenario and architecture of an indoor location tracking service for things or space in an exhibition environment based on mobile RFID. The RFID tags of things or spaces are identified as the locations of point being passed and we obtain the spatial data from the tags using mobile RFID readers, Web server and Database server. We have designed and implemented the prototype of location tracking system for exhibition scenario using Microsoft .NET framework. Additionally, we have verified the functionality of this system so various other indoor smart services may be provided using the proposed system.

A Study of Pricing Policy for Demand Response of Home Appliances in Smart Grid Based on M2M

Demand Response (DR) is one of the core components of smart grid. Demand response is the management of electricity consumption of customer in response to supply conditions of smart grids, for example, during the peak hours or in response to electricity price the customers reduce their electricity consumption. In Demand response mechanisms, the shut off request is explicitly made, whereas the demand devices passively shut off when the grid observes the stress. Demand response curtail the power used and it can also start on-site power generation which may or may not be connected in parallel the smart grid. DR is different from the energy efficiency which means using less power to perform the same tasks or perform the same task on a continuous basis. At the same time, demand response is a component of smart energy demand, which also includes energy efficiency, home and building energy management, distributed renewable resources, and electric vehicle charging. In this paper, we propose a pricing policy mechanism based on the providers prices announcement and control of the appliances remotely during peak hours of the day.

Hierarchical semantic information modeling and ontology for bird ecology

Birds have become an increasing concern for ecological preservation and safety. This paper proposes hierarchical architecture of semantic sensing information for bird acoustic data representation in bird ecological environment. This architecture provides various real-time sensing data such as bird calls using acoustic sensors in sensor networks. In this paper, we implement an ontology structure of hierarchical semantic information representation in bird’s ecological environment. Information of this architecture supports to recognize bird calls, identify birds, classify species, and to track a bird behavior in bird ecological environment. All of this would indicate that we suggest relationship between phenomenon data to service/semantic information in bird ecology.

A Real-Time Distributed Architecture for RFID Push Service in Large-Scale EPCglobal Networks

Recently, a large-scale EPCglobal network rapidly increasing, the vision of a large-scale EPCglobal network is close to becoming a reality. However, there is neither a research for efficient accessing EPCIS(EPC Information Service) repository and distributing to the business application. In this paper, we propose a real-time architecture of effective accessing EPCIS repository based on RFID push services in distributed large-scale EPCglobal network. Proposed architecture provides the real-time monitoring and transferring EPC data to the business application when happen the event.

DIY interface for enhanced service customization of remote IoT devices: a CoAP based prototype

DIY vision for the design of a smart and customizable world in the form of IoT demands the involvement of general public in its development process. General public lacks the technical depths for programming state-of-the-art prototyping and development kits. Latest IoT kits, for example, Intel Edison, are revolutionizing the DIY paradigm for IoT and more than ever a DIY intuitive programming interface is required to enable masses to interact with and customize the behavior of remote IoT devices on the Internet. This paper presents the novel implementation of such a system enabling general public to customize the behavior of remote IoT devices through a visual interface. The interface enables the visualization of the resources exposed by a remote CoAP device in the form of graphical virtual objects. The VOs are used to create service design through simple operations like drag-and-drop and properties settings. The design is maintained as an XML document, thus being easily distributable and recognizable. CoAP proxy acts as an operation client for the remote device and also provides communication link between the designer and the device. The paper presents the architecture, detailed design, and prototype implementation of the system using state-of-the-art technologies.

The Vehicle Collision Warning System Based on GPS

In this paper, we developed the vehicle collision warning system that detects car crash and warns the danger to drivers in advance. This vehicle collision warning system is implemented by using sensors and GPS system. Collision detection algorithm, vehicle identification module and management of collision warning system are implemented. With simulation, this system could help to reduce traffic accidents of tourists and enable drivers to predict possible accidents as well as to prepare for them.