• ETRI Journal
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• v.39 no.2
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• pp.151-162
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• 2017

With the remarkable growth in rich media in recent years, people are increasingly exposed to visual information from the environment. Visual information continues to play a vital role in rich media because people's real interests lie in dynamic information. This paper proposes a novel discrete dynamic swarm optimization (DDSO) algorithm for video object tracking using invariant features. The proposed approach is designed to track objects more robustly than other traditional algorithms in terms of illumination changes, background noise, and occlusions. DDSO is integrated with a matching procedure to eliminate inappropriate feature points geographically. The proposed novel fitness function can aid in excluding the influence of some noisy mismatched feature points. The test results showed that our approach can overcome changes in illumination, background noise, and occlusions more effectively than other traditional methods, including color-tracking and invariant feature-tracking methods.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.1067-1071
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• 1997

A new type of gripper for micrometer-size objects is developed using piezoelectric multi-layer benders. It is composed of three chopsticks, two of which are designed to grip micro-objects. The third one is reserved for helping the two when objects are released from the chopsticks. It is well known that a micro object is much easier to grasp than to release it after holding it. The electrostatic force between the chopsticks and an object is believed to be the main cause of adhesion in a dry environment. The surface tension becomes very important when liquids are present or in a liquid. The third auxiliary chopsticks is introduced to solve there surface effects. All the three chopsticks are made of tungsten wires with sharpened ends by etching. When grasping microparts, the two chopsticks are utilized, and, when releasing them anywhere the parts are located, the third one reduces the electrostatic force between the objects and the chopstick may be to help the other two chopsticks to hold an objects in a desired orientation. We constructed the three chopstick gripoer for micro objects and test their function by holding and releasing an object of a diameter of 100 micrometers. We make use of open loop voltage control. The bender displacement resolution is sub-micrometer. The gripping forces, about tens of mN are obtained. The experiment shows that the third auxiliary chopstick functions effectively.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.1
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• pp.70-79
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• 2008

The purpose of this study is to construct the fundamental data for setting a valid viewpoint as the base of landscape planning and management practices. To do this, we analyzed the preceding dissertations and landscape plan reports which presented the selection criteria of viewpoint. 37 research samples containing the criteria of viewpoint were investigated. The selection criteria and trends of viewpoint were analyzed as follows : Firstly, by analyzing the preceding researches we were able to grasp the criteria that had been used to set viewpoint. Secondly, we investigated the differences in criteria of selecting the viewpoint according to the research type, research time and view object. Finally, we analyzed the trends of viewpoint selection criteria and classified the characteristics and selection criteria of viewpoint based on an overview of the research content. It can be concluded that the criteria of viewpoint are intimately linked to the view object, the purpose and role of viewpoint which is related to the landscape planning and management practices. According to this study, we can find that the selection criteria and trends of viewpoint have been used in the research related to the view plane following the 1990's. Hereafter, additional research and the comparisons with researches abroad is necessary to set the objective selection criteria of viewpoint.

• Journal of Internet of Things and Convergence
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• v.2 no.1
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• pp.1-6
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• 2016

The IOT environment, people connected to the network, object, everything such as space (Things) generates data in real time. The information between the object collecting, sharing, are utilized. Currently health care, research in various fields such as smart home has been promoted. Also appeared concepts emphasized all things(IOE) Internet connection between the geographic space and the Internet. Human, while important connections between the objects, such as objects, studies of efficient and secure authentication technologies have been developed. In this paper, we propose a RADIUS (Remote Authentication Dial In User Service) protocol for improved mutual authentication between each object in the IOT environment.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.12
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• pp.859-866
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• 2006

Grid portal services provide more flexible research environment by overcoming time and space limit of existing application-based grid services. However user's requirements such as user interfaces are not clear during development cycle and changed frequently. Therefore it is necessary to reduce the cost for creating and maintaining user interfaces of grid services. In this paper, we suggest an object-oriented user control model which allows easier development of user interfaces and increases code reusability by abstracting objects from presentation layer of web. In this model, structure of presentation pages can be described more clearly and implementation of actions is simple and easy.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.413-413
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• 2000

In this paper, we propose a series of calibrations f3r the x-ray three dimensional imaging system. In the developed x-ray system, a three dimensional inner and outer shape of an object can be reconstructed out of two dimensional transmitted x-ray image set, which are acquired by projecting x-ray to the object from different views. To achieve this, a reconstruction algorithm which estimates and updates the three dimensional volume from x-ray images is developed. The algorithm is named as uniform and simultaneous algebraic reconstruction technique(USART) which is an iterative method estimating a 3D volume based on its projected images. In this method, it is assumed that the imaging conditions that are the relative positions between the x-ray sources, object and the image planes are blown. Practically it is not easy to know the three dimensional coordinate of the components of the system, since the x-ray is not visible and the image distortions are present due to the optical components in the system. In this paper, methods of correcting image distortions are present firstly. Then the coordinates of the x-ray systems are calibrated from the x-ray images of the grid pattern. Some experimental results on these calibrations are present and discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.12C
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• pp.1228-1237
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• 2002

Network management is composed of five major functional areas, fault, configuration, account, performance and security management in the ITU standards. Configuration management identifies, exercises control over, collects data from network element node system and provides data to the management systems. The proposed architecture is designed based on the Distributed Processing Environment of CORBA(Common Object Request Broker Architecture) Spec v2.3. In this paper, configuration management system has been designed and implemented with layered managed object. It provides that integrated management of various data link layer technology. We suggest MIB(Management Information Base)/MIT(Management Information Tree) to support integrated management and distributed environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2C
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• pp.78-85
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• 2011

In this paper we proposed an intelligent PTZ camera system which detects, classifies and tracks moving objects. If a moving object is detected, features are extracted for classification and then realtime tracking follows. We used GMM for detection followed by shadow removal. Legendre moment is used for classification. Without auto focusing, we can control the PTZ camera movement by using center points of the image and object's direction, distance and velocity. To implement the realtime system, we used TI DM6446 Davinci processor. Throughout the experiment, we obtained system's high performance in classification and tracking both at vehicle's normal and high speed motion.

• Journal of IKEEE
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• v.19 no.2
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• pp.160-167
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• 2015

We present an experimental implementation of the inexpensive microwave security sensor that can detect both static and slowly moving objects in cluttered environment. The prototype consists of a frequency-modulated continuous wave radar sensor, control board or computer and software. The prototype was tested in a cluttered indoor environment. In case of intrusion or change of environment the sensor will give an alarm, determine the location of new object, change in its location and can detect a slowly moving target. To make a low-cost unit we use commercially available automotive radar and own signal processing techniques for object detection and tracking. The intruder detection is based on a comparison between current 'image' in memory and 'no-intrusion' reference image. The main challenge is to develop a reliable technique for detection of a relatively low-magnitude object signals hidden in multipath clutter echo signals. Various experimental measurements and computations have shown the feasibility and performance of the system.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.23-35
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• 2014

Recently, novel application areas in digital geometry processing, such as simulation, dynamics, and medical surgery simulations, have necessitated the representation of not only the surface data but also the interior volume data of a given 3D object. In this paper, we present an efficient framework for the shape approximations of spherical solid objects based on trivariate B-splines. To do this, we first constructed a smooth correspondence between a given object and a unit solid cube by computing their harmonic mapping. We set the unit solid cube as a rectilinear parametric domain for trivariate B-splines and utilized the mapping to approximate the given object with B-splines in a coarse-to-fine manner. Specifically, our framework provides user-controllability of shape approximations, based on the control of the boundary condition of the harmonic parameterization and the level of B-spline fitting. Experimental results showed that our method is efficient enough to compute trivariate B-splines for several models, each of whose topology is identical to a solid sphere.