• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.113-124
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• 2007

The virtual laboratory is implemented by Java applets and FLASH animations, which provides the learners with improved experimental methods. If the learners have access to the virtual laboratory system through signing up procedure, they can acquire the fundamental concepts and make a virtual experiment on 8051 microcontroller. In addition, we have implemented the remote laboratory for practicing 8051 microcontroller, which can be used to compensate the absence of reality, occurred during virtual laboratory session. Finally, the proposed integration laboratory provides the learners with almost all the same and advantages as a real laboratory environment.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.152-158
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• 2016

In this paper, we implemented the full stack platform design with MongoDB database of open source platform Raspberry PI 3 model. We experimented the triggering of event driven with acceleration sensor data logging with wireless communication. we captured the image of USB Camera(MS LifeCam cinema) with 28 frames per second under the Linux version of Raspbian Jessie and extended the functionality of wireless communication function with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the full stack platform for recognizing the event triggering characteristics of detecting the acceleration sensor action and gathering the temperature and humidity sensor data under IoT environment. Especially we used MEAN Stack for developing the performance of full stack platform because the MEAN Stack is more akin to working with MongoDB than what we know of as a database. Afterwards, we would enhance the performance of full stack platform for IoT clouding functionalities and more feasible web design with MongoDB.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.85-94
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• 2004

Object tracking in a real time image is one of interesting subjects in computer vision and many Practical application fields during the past couple of years. But sometimes existing systems cannot find all objects by recognizing background noise as object. This paper proposes a method of object detection and tracking using adaptive background image in real time. To detect object which is not influenced by illumination and to remove noise in background image, this system generates adaptive background image by real time background image updating. This system detects object using the difference between background image and input image from camera. After setting up Minimum Bounding Rectangle(MBR) using the internal point of detected object, the system tracks object through this MBR In addition, this paper evaluates the test result about performance of proposed method as compared with existing tracking algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.9-14
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• 2015

Touch interface is widely used in a smartphone instead of a keyboard or a keypad interface that has been adopted in a PC or a featurephone, respectively. Touch interface can recognize a variety of gestures that clearly represent the distinct features of each application's input. This paper analyzes users' gesture of each application captured by the touch interface of a smartphone. Specifically, we extract touch input traces from various application categories such as game, web browser, youtube, image and e-book viewer, video player, camera, and map applications, and then analyzed them. Through this analysis, we observed a certain unique characteristics of each application's touch input, and this can be utilized in various useful areas such as identification of an application user, prevention of running an application by an illegal user, or design of a new interface convenient to a specific user.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.207-214
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• 2011

In this paper, using Zigbee-based wireless sensor networks and Lego MindStorms NXT robot, a remote monitoring and navigation system for mobile robot has been developed. Mobile robot can estimate its position using encoder values of its motor, but due to the existing friction and shortage of motor power etc., error occurs. To fix this problem and obtain more accurate position of mobile robot, a ultrasound module on wireless sensor networks has been used in this paper. To overcome disadvantages of ultrasound which include straightforwardness and narrow detection coverage, we rotate moving node attached to mobile robot by $360^{\circ}$ to measure each distance from four fixed nodes. Then location of mobile robot is estimated by triangulation using measured distance values. In addition, images are sent via a network using a USB Web camera to smart phone. On smart phones we can see location of robot, and images around places where robot navigates. And remote monitoring and navigation is possible by just clicking points at the map on smart phones.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.171-179
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• 2013

Recognition and image processing technology depends on illumination variation. One of the most important factors is the parameters of algorithms. When it comes to select these values, the system has different types of recognition accuracy. In this paper, we propose performance improvement of the eye tracking system that depends on some environments such as, people, location, and illumination. Optimized threshold parameter was decided by using reinforcement learning. When the system accuracy goes down, reinforcement learning used to train the value of parameters. According to the experimental results, the performance of eye tracking system can be improved from 3% to 14% by using reinforcement learning. The improved eye tracking system can be effectively used for human-computer interaction.

• Journal of Digital Contents Society
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• v.7 no.2
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• pp.75-82
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• 2006

Ubiquitous Computing is an agriculture revolution, the Industrial Revolution, the fourth revolution to equal an information revolution are Ubiquitous Computing. Historic agriculture was revolutionary, but the Industrial Revolution was a revolution of the physics space that was a base of a mankind civilization, and the information revolution that Cyber Space saw a prime while world wide web service was expanded was a revolution of cyber space. Be charmed with this, and, as for the Ubiquitous Computing revolution, it is achieved a physics space and an intelligent union of cyber space in the space where an off-line space was integrated with compunction on-line. It is combined with a life space naturally, and Ubiquitous creates a new integrated space. The space is the opportunity space that is limitless as soon as it is the unknown world that mankind was not able to experience yet. This paper checks the present situation of currently proceeding Ubiquitous computing technology(RFID, CCTV) in augmented reality environment. Also, The main purpose of this paper is to analyze the concepts analysis of privacy, personal information, and electronic surveillance in augmented reality environment. Thus this paper treated the analysis of case, technological issue, problem and solution and so on.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.403-408
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• 2020

This paper is to evaluate the usability of two representative video meeting services currently used by university for research to improve the quality of university remote lecture. questionnaires based on Kano Model were designed and in-depth interviews were conducted to provide qualitative approaches. Screen-sharing functions, the one-dimensional functions was the most important function. and attractive functions had relatively diverse directions. For essential functions, there was a wide gap in quality due to user-specific equipment. The function in which other platforms exist or business-related was not important. Webex reacted negatively to the aging UI, while Zoom responded negatively to the unilateral mute function. In addition, the development direction was presented in five ways as a result of analysis of these results. under Corona-19 situation, I hope this study will lead to continuous research to make stepping stone for remoted educational development.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.7
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• pp.63-70
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• 2006

This paper describes research of using area of artificial mark on vision based head tracker system. A head tracker system consists of the translational and rotational motions which are detected by web camera. Results of the motion are taken from image processing and neural network. Because of the characteristics of cockpit, the specific color on the helmet is tracked for translational motion. And rotational motion is tracked via neural network. Ratio of two different colored area on the helmet is used as input of network. Neural network algorithms used, such as back-propagation and RBFN (Radial Basis Function Network). Both back-propagation using a characteristic of feedback and RBFN using a characteristic of statistics have a good performances for the tracking of nonlinear system such as a head motion. Finally, this paper analyzes and compares with tracking performance.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.171-179
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• 2010

In this paper, we describe a case study of a new lab. project that improves efficiency for education and interest on learning in image processing and pattern recognition related subjects by using LEGO Mindstorms. In addition we verify the validity with analysis of the practical application. LEGO Mindstorms is already used in many educational institution of several countries since about 10 years ago and various case studies have been published. The use of LEGO Mindstorms is generally positive but the negative comments about this exist. The main cause of negative opinion is from unpredictability. The unpredictability from mainly analog characteristics of robot can degrade the effective learning. The describing lab. project suppresses occurrence of unpredictability by minimizing dependence on robots. Students can concentrate on learning the related algorithms by minimizing the learning content and further consideration.