• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.258-260
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• 2005

We describe a method for localizing a mobile robot in the working environment using a vision system and VRML. The robot identifies landmarks in the environment and carries out the self-positioning. The image-processing and neural network pattern matching technique are employed to recognize landmarks placed in a robot working environment. The robot self-positioning using vision system is based on the well-known localization algorithm. After self-positioning, 2D scene is overlaid with VRML scene. This paper describes how to realize the self-positioning and shows the result of overlaying between 2D scene and VRML scene. In addition we describe the advantage expected from overlapping both scenes.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.449-462
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• 2003

The purpose of this study was to investigate the effect of the environmental factors on the life-positioning and the self-concept of adolescents from the military families. Subjects were 75 male and 92 female students from Y-middle school in Kye-Ryong city. The results of this study were as follows: First, the life-positioning was influenced by the scholastic achievement of an adolescent and father's rank. Second, the self-concept was influenced by the gender, the order of birth, the scholastic achievement of an adolescent and parent's age, social economic status, and father's rank. Finally, the self-concept of an adolescent was influenced by one's life-positioning.

• Journal of Power System Engineering
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• v.17 no.5
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• pp.100-111
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• 2013

Indoor real-time positioning for multiple targets is required to realize human-robot symbiosis. This study firstly presents positioning accuracy on an autonomous mobile robot controlled by 3-D coordinates that is obtained by a real-time indoor positioning system with spread spectrum (SS) ultrasonic signals communicated by code-division multiple access. Although many positioning systems have been investigated, the positioning system with the SS ultrasonic signals can measure identified multiple 3-D positions in every 70 ms with noise tolerance and error within 100 mm. This system is also robust to occlusion and environmental changes. However, thus far, the positioning errors in an autonomous mobile robot, controlled by these systems using the SS ultrasonic signals, have not been evaluated as an experimental study. Therefore, a positioning experiment for trajectory control is conducted using an autonomous mobile robot and our positioning system. The effectiveness of this positioning method for robot self-localization is shown, from this experiment, because the average control error between the target position and the robot's position at 29 mm is obtained.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1C
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• pp.130-137
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• 2010

An uplink indoor positioning system is proposed in the present work, where the acoustic signals are solely used for positioning. The underlying acoustic signals include whistle, finger snap, and hands-clapping. In the proposed method, positioning is achieved by finding the time-difference-of-arrivals using several self-generating sounds. To evaluate the feasibility of the signals and their positioning accuracies, the database of 100 persons about self-generating acoustic signals is built up. The results show that the hands-clapping sound is the most suitable for acoustic-based indoor positioning.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.5
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• pp.490-495
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• 2015

As flying robots are becoming popular, there are increased needs to use themforsuch purposes as parcel delivery, serving in restaurants, and stage performances. To control flying robots such as quad copters, localization is essential. In order to properly position flying robots, many techniques are in development, including IR (infra-red)-based systemswhich catch markers on a flying robot in order that it can position itself. However, this technique demonstrates only short coverage. Furthermore, localization from inertial sensors diverges as time passes. For this reason, this paper suggests a TWR (two-way ranging) based positioning technique. Despite the weaknesses in currently available TWR system, this paper suggests a self-positioning and outlier detection technique in order to provide reliable position information with a faster update rate. The self-positioning system sends a shorter message which reduces wireless traffic. By detecting and removing outlier measurements, a positioning result with better accuracy is acquired. Finally, this paper shows that the suggesting system detects outlierssequentially from less than half the number of anchors in localization system according to the degree of outlier in measurement and the noise level. By performing an outlier algorithm, better positioning accuracy is acquired as shown in the experimental result.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.527-529
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• 2006

In this paper, we find a robot's path using a Virtual Reality Modeling Language and overlay vision. For correct robot's path we describe a method for localizing a mobile robot in its working environment using a vision system and VRML. The robt identifies landmarks in the environment, using image processing and neural network pattern matching techniques, and then its performs self-positioning with a vision system based on a well-known localization algorithm. After the self-positioning procedure, the 2-D scene of the vision is overlaid with the VRML scene. This paper describes how to realize the self-positioning, and shows the overlap between the 2-D and VRML scenes. The method successfully defines a robot's path.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.907-908
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• 2006

We describe a method for localizing a mobile robot in its working environment using a vision system and Virtual Reality Modeling Language (VRML). The robot identifies landmarks in the environment, using image processing and neural network pattern matching techniques, and then its performs self-positioning with a vision system based on a well-known localization algorithm. After the self-positioning procedure, the 2-D scene of the vision is overlaid with the VRML scene. This paper describes how to realize the self-positioning, and shows the overlap between the 2-D and VRML scenes. The method successfully defines a robot's path.

• Journal of Positioning, Navigation, and Timing
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• v.11 no.2
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• pp.119-126
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• 2022

This paper presents a method to reduce the vibration-induced noise effect of an inertial measurement device mounted on a self-driving vehicle. The inertial sensor used in the GNSS/INS integrated navigation system of a self-driving vehicle is fixed directly on the chassis of vehicle body so that its navigation output is affected by the vibration of the vehicle's engine, resulting in the degradation of the navigational performance. Therefore, these effects must be considered when mounting the inertial sensor. In order to solve this problem, this paper proposes to use an in-house manufactured vibration suppression device and analyzes its impact on reducing the vibration effect. Experimental test results in a static scenario show that the vibration-induced noise effect is more clearly observed in the lateral direction of the vehicle, but can be effectively suppressed by using the proposed vibration suppression device compared to the case without it. In addition, the dynamic positioning test scenario shows the position, speed, and posture errors are reduced to 74%, 67%, and 14% levels, respectively.

• Child Health Nursing Research
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• v.28 no.1
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• pp.70-81
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• 2022

Purpose: This study aimed to develop and evaluate the effectiveness of an educational program on developmental positioning (EPDP) for nurses in neonatal intensive care units (NICUs). Methods: The study utilized a non-equivalent control group pretest-posttest design. Sixty NICU nurses were recruited from two university hospitals in Daejeon, South Korea. The EPDP consisted of a 7-week program: 3 weeks of education and practice, followed by 4 weeks of encouragement messages using social networking services. Developmental positioning (DP) posters and DP aids were also provided during the intervention period. The intervention group (n=30) received the EPDP, but not the control group. The data were analyzed using the 𝜒² test, the Fisher exact test, the independent t-test, and repeated-measures analysis of variance. Results: Participants' knowledge (t=7.49, p<.001), attitudes (t=1.99, p=.001), self-efficacy (t=2.99, p=.004), performance of DP (t=2.98, p=.004) and Infant Positioning Assessment Tool (IPAT) scores (F=29.50, p<.001) were significantly higher in the intervention group than in the control group. Conclusion: The EPDP can be an effective and useful program for improving the performance of DP among NICU nurses by increasing their knowledge, attitudes, and self-efficacy of DP. However, further research involving various NICU settings is needed to gather more empirical evidence.

• Journal of the Korean Society of Costume
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• v.66 no.7
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• pp.50-68
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• 2016

The objectives of this study are to identify the self-image and preferred fashion styles that Korean career women seek in different daily situations, and to propose a positioning map in accords with the findings. The study conducted a survey and in-depth interviews. The study used twenty items of self-image adjectives extracted from existing studies, and eighteen fashion style stimuli collected by examining women's wear brands. The study surveyed 329 career women. Their daily situation was classified into five situations; external meeting and presentation, ordinary work, wedding and family gathering, blind date or date, and meeting with friends and acquaintances. The analysis results of this study showed that self-image and fashion style preferences are relevant to daily situation. The image most sought in external meetings and presentation was the 'Elegant' image, and the image most sought in meetings with friends and acquaintances was the 'active' image. Women on dates or blind dates sought the 'feminine' image the most, however they preferred to avoid this image during external meetings and presentations. Among fashion styles, the 'elegant/classic' style was most preferred, and the 'sexy/avant-garde' style had the lowest preference among all the styles. 'Mannish' was preferred in ordinary work and meeting with friends and acquaintances, however, it was shown as having the lowest preference level in blind dates or dates. The 'romantic/natural' style was highly preferred in meeting with friends and acquaintances, however it had a low level of preference for external meetings and presentations. This study has significance in providing practical information to utilize in fashion industry by identifying the relationship between self-image and preferred fashion style sought by career women according to daily situation, and using the results to propose a positioning map.