• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.133-139
• /
• 2019

This study investigated what type of destination image on Facebook increases positive attitude towards the destination and desire to travel. More specifically, we hypothesized that Facebook user's public self-consciousness will moderate the advertising effect, so we tested the difference in attitude towards the destination and willingness to visit and recommend based on the type of destination image (presence/absence of a tourist in the image) and user's public self-consciousness (high/low). As a result, when a tourist was present in the photo, positive attitude toward destination was higher than when absent. In addition, the high public self-consciousness group showed greater attitude toward destination and higher willingness to visit and recommend than low public self-consciousness group when a tourist was present in the image. However, the low public self-consciousness group showed no difference depending on the presence of a tourist. This research not only is academically significant as it experimentally tested advertising effect depending on type of destination image and Facebook user's public self-consciousness, but also holds practical significance as it suggests advertisement method to consider consumer's predisposition.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.12 no.6
• /
• pp.68-77
• /
• 2013

This study suggested experimental study results of congestion detection method for intruding vehicle enforcement system. This congestion detection method is developed to determine optimal operation criteria of intruding vehicle enforcement system as detecting traffic congestion. In ITS sector, traffic management systems generally have used a sectional travel speed for congestion detection. However, image sensors have high error rate of congestion detection because of speed error. This study suggested comprehensive congestion detection criteria based on speed and occupancy rate using field studies. As field study results, the proposed intruding vehicle enforcement system using image sensor is capable of accurately detecting the traffic congestion using sectional speed of 20km/h and occupancy rate of 60% as congestion detection criteria.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.7
• /
• pp.1435-1440
• /
• 2017

Recently, VR and AR are emerging as an area of interest in ICT. In virtual reality to feel like a real, many people are looking for them because of its charm. However, the motion of the VR image and the moving object are not synchronized exactly, and a problem of feeling nausea is also occurring. The problem should be solved by the application of Attraction in the VR system. In this paper, we propose a module that minimizes delay time by synchronizing movement of VR image and moving object. The proposed module calculates the moving distance using the direction and the acceleration sensor that the user views through the VR device. The module proposed in this paper will pay attention to the fact that the movement of the attraction moves along a fixed path, so that the accurate travel distance can be calculated.

• Journal of Biosystems Engineering
• /
• v.43 no.2
• /
• pp.103-109
• /
• 2018

Purpose: This study has been conducted to develop a potato yield monitoring system, consisting of a segmentation algorithm to detect potatoes scattered on a soil surface and a counting system to count the number of potatoes and convert the data from two-dimensional images to masses. Methods: First, a segmentation algorithm was developed using top-hat filtering and processing a series of images, and its performance was evaluated in a stationary condition. Second, a counting system was developed to count the number of potatoes in a moving condition and calculate the mass of each using a mass estimation equation, where the volume of a potato was obtained from its two-dimensional image, and the potato density and a correction factor were obtained experimentally. Experiments were conducted to segment potatoes on a soil surface for different potato sizes. The counting system was tested 10 times for 20 randomly selected potatoes in a simulated field condition. Furthermore, the estimated total mass of the potatoes was compared with their actual mass. Results: For a $640{\times}480$ image size, it took 0.04 s for the segmentation algorithm to process one frame. The root mean squared deviation (RMSD) and average percentage error for the measured mass of potatoes using this counting system were 12.65 g and 7.13%, respectively, when the camera was stationary. The system performance while moving was the best in L1 (0.313 m/s), where the RMSD and percentage error were 6.92 g and 7.79%, respectively. For 20 newly prepared potatoes and 10 replication measurements, the counting system exhibited a percentage error in the mass estimation ranging from 10.17-13.24%. Conclusions: At a travel speed of 0.313 m/s, the average percentage error and standard deviation of the mass measurement using the counting system were 12.03% and 1.04%, respectively.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.12
• /
• pp.93-102
• /
• 2011

This paper presents a walking guidance system for blind pedestrians in an outdoor environment using just one single camera. Unlike many existing travel-aid systems that rely on stereo-vision, the proposed system aims to get necessary information of the road environment by using just single camera fixed at the belly of the user. To achieve this goal, a top-view image of the road is used, on which obstacles are detected by first extracting local extreme points and then verified by the polar edge histogram. Meanwhile, user motion is estimated by using optical flow in an area close to the user. Based on these information extracted from image domain, an audio message generation scheme is proposed to deliver guidance instructions via synthetic voice to the blind user. Experiments with several sidewalk video-clips show that the proposed walking guidance system is able to provide useful guidance instructions under certain sidewalk environments.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.43 no.4 s.310
• /
• pp.66-73
• /
• 2006

Safety is the most important for all traffic management and control technology. This paper focuses on developing a flexible, reliable and real-time processing algorithm which is able to generate signal for the entering vehicle at the joining road through a camera and image processing technique. The images obtained from the camera located beside and upon the road can be used for traffic surveillance, the vehicle's travel speed measurement, predicted arriving time in joining area between main road and joining road. And the proposed algorithm displays the confluence safety signal with red, blue and yellow color sign. The three methods are used to detect the vehicle which is driving in setted detecting area. The first method is the gray scale normalized correlation algorithm, and the second is the edge magnitude ratio changing algorithm, and the third is the average intensity changing algorithm The real-time prototype confluence safety signal generation algorithm is implemented on stored digital image sequences of real traffic state and a program with good experimental results.

• Journal of Fashion Business
• /
• v.27 no.2
• /
• pp.70-87
• /
• 2023

Today, VR, AR, and MR technologies that travel between real world and virtual world are rapidly developing. These technologies are adopted in luxury fashion brands for virtual fashion shows and runways, virtual retail shops and virtual fitting services. Despite its growth potential and social importance, virtual fashion space has been studies insufficiently. Therefore, this study aimed to examine the consumer experience on the virtual fashion space types, components of virtual fashion space, perceived value, and continuous usage intention. Prada, one of the most active luxury fashion brands in the VR field, was selected as the stimulus for an in-depth interview. Participants experienced virtual fashion show space through VR device (Oculus Quest 2 from Meta) before responding to the questions about their experience. Results showed that material space was more like virtual whereas perceptual space felt like reality. Participants could imagine about more virtual image from material space and more real image from perceptual space elements. Moreover, perceptual space enhanced the immersion, presence, and interactivity compared to material space. Most participants perceived that the virtual fashion show was useful and playful, leading to the continuous usage intention. It implies that improvements for some technical limitation from VR device and virtual contents can provide quality consumer experience in the future. Based on results of this study, fashion companies can establish useful marketing strategies for consumers' immersive and playful experiences when introducing virtual fashion space.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.2
• /
• pp.105-112
• /
• 2016

This paper presents the experimental setup for autonomous navigation of a robotic vehicle for touring university campus. The robotic vehicle is developed for navigation of specific areas such as university campus or play parks. The robotic vehicle can carry two passengers to travel short distances. For the robotic vehicle to navigate autonomously the specific distance from the main gate to the administrative building in the university, the experimental setup for SLAM is presented. As an initial step, a simple method of following the line detected by a single camera is implemented for the partial area. The central line on the pavement colored with two kinds, red and yellow, is detected by image processing, and the robotic vehicle is commanded to follow the line. Experimental studies are conducted to demonstrate the performance of navigation as a possible touring vehicle.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.1
• /
• pp.121-131
• /
• 2020

Current traffic information is collected through a loop detector or an image detector. This method is influenced by weather and time, so a traffic information generation system is needed to replace it. A system for generating traffic information using a smartphone in a vehicle is proposed and the performance of the proposed method is verified through the collection rate and the travel time error rate obtained through field tests. In addition, we propose an algorithm for generating intersection traffic information for each direction of rotation, suggest ways to increase the amount of valid information, and confirm the results.

• Journal of the Korean Wood Science and Technology
• /
• v.27 no.1
• /
• pp.56-63
• /
• 1999

Machinability of three Korean domestic bamboo species, Phyllostachys pubescens Mazel, Phyllostachys nigra var. henonis Stapf. and Phyllostachys bambusoides S. et Z., was studied to investigate the possibility of utilization of Korean domestic bamboo species as raw material for industry. Splitting force reached a maximum within the first inch of knife travel and diminished thereafter. Parallel-sided wedge-type knife with sharpness angle of 15 degree required the lowest maximum splitting force. Roughnesses of surfaces developed during planing and sawing of bamboo were lower than those of Pinus radiata D. Don and quality of ripped surface was better than that of cross-cut surface on bamboo. 62.5 hours were required to dry 12mm-thick Phyllostachys pubescens Mazel from moisture content of 60% to moisture content of 10% at $70^{\circ}C$.