• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1229-1239
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• 2007

In conversion of web pages for mobile devices, since existing web conversion systems eliminate unnecessary objects indiscriminately or only convert the layout of a page, the original intention of a web designer is spoiled. In spite of great advances in device technology, there still remain the problems of limited display sire and insufficient CPU power. In this paper, we propose an adaptation method that minimizes the loss of information and preserves the original intention of a web designer from the visual aspect. In image conversion, the proposed method extracts meaningful information from the background against conventional resizing methods, and performs layout-based conversion for the arrangement of image components. Experimental results show the efficiency of the method on the accuracy and the usability in comparison with existing methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.4
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• pp.427-432
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• 2016

The mnemonic-system in numbers is useful to remember numbers. In this mnemonic-system, the graph or image to apply many ways such as dot, line, bar, and etc is a rather neat mnemonic. Mnemonics related to numbers are concerned chiefly with translating information into a method that the brain can retain better than its original form. In Tracing the previous work of this paper, we suggested a simple graph algorithm and arranged image algorithm for the mnemonic-system in numbers. In this paper, we evaluate and implement the numerical information system based on the mnemonic system to apply previous algorithm in mobile environments.

• The Journal of Korea Robotics Society
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• v.8 no.4
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• pp.238-246
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• 2013

In this paper, a robot vision technique is presented to detect obstacles, particularly approaching humans, in the images acquired by a mobile robot that autonomously navigates in a narrow building corridor. A single low-cost color camera is attached to the robot, and a trapezoidal area is set as a region of interest (ROI) in front of the robot in the camera image. The lower parts of a human such as feet and legs are first detected in the ROI from their appearances in real time as the distance between the robot and the human becomes smaller. Then, the human detection is confirmed by detecting his/her face within a small search region specified above the part detected in the trapezoidal ROI. To increase the credibility of detection, a final decision about human detection is made when a face is detected in two consecutive image frames. We tested the proposed method using images of various people in corridor scenes, and could get promising results. This method can be used for a vision-guided mobile robot to make a detour for avoiding collision with a human during its indoor navigation.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1887-1891
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• 2005

Despite significant advances in multimedia transferring technologies in various fields of robotics, it is sometimes quite difficult for the operator to fully understand the context of 3D remote environments from 2D image feedback. Particularly, in the remote control of mobile robots, the recognition of the object associated with the task is very important, because the operator has to control the robot safely in various situations not through trial and error. Therefore, it is necessary to provide the operator with 3D volumetric models of the object and object-related information as well such as locations, shape, size, material properties, and so on. Thus, in this paper, we propose a vision-based human interface system that provides an interactive, information-rich map through network-based information brokering. The system consists of an object recognition part, a 3D map building part, a networked knowledge base part, and a control part of the mobile robot.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.4
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• pp.365-371
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• 2009

A intelligent mobile hexapod robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.209-215
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• 2017

Character of emoticon is considered suitable for expressivity in the digital era mixing and using contents of conversation with images in the course of having a talk with the other party in the mobile space. For the foregoing, this study carried out multiple regression analysis having factors of character attribute such as awareness, friendliness, self-expressivity and image differentiation as independent variables, and purchase intention of purchasers as a dependent variable. Analysis results show that awareness and image differentiation had a positive influence on the purchase intention, whereas friendliness and self-expressivity exerted no significant influence on the purchase intention.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.10
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• pp.703-713
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• 2004

This paper presents the new obstacle avoidance method that is composed of vision and sonar sensors, also a navigation algorithm is proposed. Sonar sensors provide poor information because the angular resolution of each sonar sensor is not exact. So they are not suitable to detect relative direction of obstacles. In addition, it is not easy to detect the obstacle by vision sensors because of an image disturbance. In This paper, the new obstacle direction measurement method that is composed of sonar sensors for exact distance information and vision sensors for abundance information. The modified splitting/merging algorithm is proposed, and it is robuster for an image disturbance than the edge detecting algorithm, and it is efficient for grouping of the obstacle. In order to verify our proposed algorithm, we compare the proposed algorithm with the edge detecting algorithm via experiments. The direction of obstacle and the relative distance are used for the inputs of the fuzzy controller. We design the angular velocity controllers for obstacle avoidance and for navigation to center in corridor, respectively. In order to verify stability and effectiveness of our proposed method, it is apply to a vision and sonar based mobile robot navigation system.

• Journal of Broadcast Engineering
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• v.12 no.5
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• pp.401-413
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• 2007

The birth of a new mobile medium of communication In 2005, the DMB (Digital Multimedia Broadcasting), was celebrated for the mobile and asynchronous personal medium. But now, the most film- & video-channels of this epoch-making medium of communication combine with the rebroadcasting of long play film for cinema oder TV series. The purpose of this study is thus to point out the disharmony between new mobile medium and the old, recycled contents and to propose as an alternative content the digital shortshort moving images.

• International Journal of Costume and Fashion
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• v.4 no.2
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• pp.45-55
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• 2004

Rapid informatization and technology advance in the 21st century has invited a new paradigm and changed many things in human life pattern. The impact of mobility seen in this digital nomadism has brought about, when it comes to clothing, a change in its unique meaning, that is, the graftage of high technology onto present nomad's life style who live moving around all the time due to the expansion of mobile environment. As the fruits of this expansion of mobile environment and technology advance in wireless telecommunication, easy-to-carry smaller sized devices such as cell phones, PDA, and MP3 players represent the present times, while the future would be an 'era of wearing' in which kinds of electronic devices and systems are integrated into clothing. Thus in this study, concept of wearable computer seen in the 21st century's digital nomadism was reviewed, and figurativeness and anesthetic value of wearable computer were discussed in association with the change in high style image resulted from technology advance and change of life style. By drawing a justice from which, value of future fashion was also prospected.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2259-2262
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• 2003

This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tend to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color informations, yellow and indigo. The center coordinates extraction procedures is as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences: binarization labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.