Ho-Dong Lee

Preparation of ZrO2-coated NiO powder using surface-induced coating

Abstract Zirconia-coated NiO powder was prepared by a newly developed surface-induced coating using thermal hydrolysis of Zr(NO 3 ) 2 ·6H 2 O in a mixed solvent of alcohol and water. Amorphous zirconium hydroxide was uniformly coated on the surface of NiO powder with the thickness of 20 nm. The ZrO 2 coating layer was crystallized to tetragonal ZrO 2 with the size of 40–60 nm at 900°C. The coated NiO powder containing 15 vol.% ZrO 2 , was found to have a similar isoelectric point to that of the ZrO 2 . The surface-induced ZrO 2 coating was a more efficient method for the prevention of Ni sintering than the mechanical mixing.

Augmented Reality Based Vision System for Network Based Mobile Robot

The human machine interface is an essential part of intelligent robotic system. Through the human machine interface, human user can interact with the robot. Especially, in tele-robotic environment, the human machine interface can be developed with remarkable extended functionality. In this paper, we introduce a tele-presence vision system for monitoring of a network based mobile robot. The vision system is a vision part of human machine interface with augmented reality for the network based mobile robot. We synchronize head motion of human user and the camera motion of the mobile robot using visual information. So user of the mobile robot can monitor environment of the mobile robot as eyesight of mobile robot. Also, the system partially creates a panoramic image to solve a pose latency problem. In this paper, we evaluate and compare panoramic images from two different methods. One is pattern matching method which is simple and fast, the other is Scale Invariant Feature Transform (SIFT) which is complex and slow. Finally, proposed vision system provides high resolution and wide Field Of View (FOV) to user who is wearing a Head Mounted Display (HMD).

3D display simulator based on mixed reality

We propose a 3D display simulator based on mixed reality technology. Proposed simulator system calculates light distribution and crosstalk using parameters required for the design of multi-displays, and projects the light distribution onto the ground from the top of the viewing zone. Mixed reality merges real and virtual worlds to produce new environments and visualizations. In this paper, this mixed reality is exploited to simulate multi-view display by merging physically simulated virtual space and real space where viewers belong to. Projected light distribution is scaled to the corresponding display size. Thus, the viewer experiences the real light distribution in the real space like living room. Crosstalk information is also provided through the interaction between a viewers local position in real space and calculated virtual space. Our proposed simulator makes it possible to design and measure light distribution finding out optimized viewing zone without implementing the display in real space.

Human machine interface with augmented reality for the network based mobile robot

The human-machine interface is an essential part of intelligent robotic system. Through the human-machine interface, human being can interact with the robot. Especially, in tele-robotics environment, the human-machine interface can be developed with remarkable extended functionality. In this paper, we propose a human-machine interface with augmented reality for the network based mobile robot. Generally, we can take some meaningful information from humans motion such as movement of head or fingers. So, it is very useful to take these motions as input for systems. We synchronize head motion of human being and the camera motion of the mobile robot using visual information. So user of the mobile robot can monitor environment of the mobile robot as eyesight of mobile robot. Then we use gesture recognition for control the mobile robot. In the implemented framework, the user can monitor what happens in environment as eyesight of mobile robot and control the mobile robot easily and intuitively by using gesture.

Shape recognition of the embryo cell using deformable template for micromanipulation

One of the difficulties of using Artificial Neural Networks (ANNs) to estimate atmospheric temperature is the large number of potential input variables available. In this study, four different feature extraction methods were used to reduce the input vector to train four networks to estimate temperature at different atmospheric levels. The four techniques used were: genetic algorithms (GA), coefficient of determination (CoD), mutual information (MI) and simple neural analysis (SNA). The results demonstrate that of the four methods used for this data set, mutual information and simple neural analysis can generate networks that have a smaller input parameter set, while still maintaining a high degree of accuracy.

Interactive 3D display simulator for autostereoscopic smart pad

There is growing interest of displaying 3D images on a smart pad for entertainments and information services. Designing and realizing various types of 3D displays on the smart pad is not easy for costs and given time. Software simulation can be an alternative method to save and shorten the development. In this paper, we propose a 3D display simulator for autostereoscopic smart pad. It simulates light intensity of each view and crosstalk for smart pad display panels. Designers of 3D display for smart pad can interactively simulate many kinds of autostereoscopic displays interactively by changing parameters required for panel design. Crosstalk to reduce leakage of one eyes image into the image of the other eye, and light intensity for computing visual comfort zone are important factors in designing autostereoscopic display for smart pad. Interaction enables intuitive designs. This paper describes an interactive 3D display simulator for autostereoscopic smart pad.

Implementation of Network Framework for Development and Integration of Network-Based Humanoid Robot System

In this paper, we describe practical implementation of a framework for development and integration of network-based humanoid robot system. The characteristics of the framework are dynamically to connect, execute and disconnect humanoid robot and service components related to the robot, and to provide simplification process about development of service components and their integration task. In addition, using an error-handling mechanism, the framework is able to recovery the components interrupted by the unexpected error. Also, the stability of the network framework is guaranteed through verification process of developed service components.

Integration of microscopic holograms based on view compensation

Digital holography is a 3D imaging technology that provides phase information. It has been used for microscopy in many applications as 3D surface recognition, biophotonics and so on. However, it is not easy to obtain accurate information when objects have right angle shapes and measured vertically. To make ease the condition an object is rotated to obtain 3D information in trading off some shape view, but if several holograms are taken for the same object at different views the trade-off information can be reconstructed by topographic compensation. This paper suggests a method of integrating microscopic holograms using view compensation. View compensation is processed by feature extraction and object motion compensation.

Design of network framework for network-based humanoid

In this paper, we propose a network framework for a network-based humanoid (NBH). The proposed network framework manages network connections and data flow for the humanoid and many service components. The architecture of the framework can dynamically load, stop and release service from resources. Therefore, a number of network-based humanoids can connect and disconnect dynamically to the network framework as Plug & Play devices.

Human interface for the robot control in networked and multi-sensored environment

In this paper, we propose a human-robot interface in networked and multi-sensored environments. The human robot interface is an essential part of intelligent robotic system. Through the human robot interface, human being can interact with the robot. Especially, in multi-sensored environment, the human robot interface can be developed with remarkably extended functionality. Generally, handheld device such as PDA is a suitable for human robot interface because of its mobility and network ability. In this paper, we select PDA as device of human robot interface. In the implemented framework, the robot user can monitor what happens in multi-sensored environment and control the mobile robot easily and intuitively.