• The Korean Journal of Emergency Medical Services
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• v.22 no.3
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• pp.163-176
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• 2018

Purpose: The purpose of this study was to determine the effectiveness of hands-only CPR education according to the American Heart Association (2015) guideline for undergraduates with severe visual impairment, to provide basic data for expanding the subject of hands-only CPR education among the visually impaired. Methods: Twenty-one students attending four universities in C Province, aged 19 years or older, were enrolled in this study. These students had severe visual impairment and no other disabilities and have never received hands-only CPR education. This study data were collected from December 1, 2017 to January 11, 2018. The accuracy of the participants' technique was measured using Brayden Pro CPR manikin. The data were analyzed using SPSS version 24.0. Results: Hands-only CPR education was effective in increasing confidence and accuracy of chest compression among undergraduates with severe visual impairment. Conclusion: These findings suggest that individuals with severe visual impairment should be given more educational opportunities. Additionally, subsequent studies should develop equipment that helps increase accuracy by using video aids with commentary or other auditory components for the visually impaired.

• Architectural research
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• v.22 no.4
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• pp.155-162
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• 2020

Numerous scholars have explored the modeling, control, and optimization of energy systems in buildings, offering new insights about technology and environments that can advance industry innovation. Eye trackers deliver objective eye-gaze data about visual and attentional processes. Due to its flexibility, accuracy, and efficiency in research, eye tracking has a control scheme that makes measuring rapid eye movement in three-dimensional space possible (e.g., virtual reality, augmented reality). Because eye movement is an effective modality for digital interaction with a virtual environment, tracking how users scan a visual field and fix on various digital objects can help designers optimize building environments and materials. Although several scholars have conducted Virtual Reality studies in three-dimensional space, scholars have not agreed on a consistent way to analyze eye tracking data. We conducted eye tracking experiments using objects in three-dimensional space to find an objective way to process quantitative visual data. By applying a 12 × 12 grid framework for eye tracking analysis, we investigated how people gazed at objects in a virtual space wearing a headmounted display. The findings provide an empirical base for a standardized protocol for analyzing eye tracking data in the context of virtual environments.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.190-194
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• 2018

The runway visual range is one of the important factors that decide the possibility of taking offs and landings of the airplane at local airports. The runway visual range is affected by weather conditions like fog, wind, etc. The pilots and aviation related workers check a local weather forecast such as runway visual range for safe flight. However there are several local airfields at which no other forecasting functions are provided due to realistic problems like the deterioration, breakdown, expensive purchasing cost of the measurement equipment. To this end, this study proposes a prediction model of runway visual range for a local airport by applying convolutional neural network that has been most commonly used for image/video recognition, image classification, natural language processing and so on to the prediction of runway visual range. For constituting the prediction model, we use the previous time series data of wind speed, humidity, temperature and runway visibility. This paper shows the usefulness of the proposed prediction model of runway visual range by comparing with the measured data.

• Journal of the Ergonomics Society of Korea
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• v.28 no.3
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• pp.55-62
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• 2009

This study is concerned with predicting human search performance using a visual lobe. The most previous studies on human performance in visual search have been limited to a single-target search. This study extended the visual search research to multiple-target search including targets of different types as well as targets of same types. A model for predicting visual search performance was proposed and the model was validated by human search data. Additionally, this study found that human subjects always did not use a constant ratio of the whole visual lobe size for each type of targets in visual search process. The more conspicuous the target is, the more ratio of the whole visual lobe size human subjects use. The model that can predict human performance in multiple-target search may facilitate visual inspection plan in manufacturing.

• Journal of the Korean Society of School Health
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• v.10 no.2
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• pp.179-192
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• 1997

The main purpose of this study was to analyze and identify factors related to changes in visual acuity of primary school students over one year period. The data for this study were collected from 980 students in the first to fifth grades of one elementary school located in Koyang City, Kyungki Province. The visual acuity tests of students and self reported questionnaires for the students and their parents were administered in 1995 and 1996. The data were analyzed by using SAS PC. The results of the study were as follows. 1. Visual acuity in both eyes is significantly lower in girls than in boys. 2. Overall visual acuity of the students decreased over the one year. Notably, decreases in visual acuity were statistically significant during the transition from the first to the second grade and from the third to the fourth grade. 3. Students with visual acuity ranging from 0.4 to 0.7 and those above 1.0 in 1995 showed a significantly lower acuity in 1996 than other students. 4. Students who needed glasses in 1995 showed significantly lower visual acuity in 1996 than those without glasses. 5. Other factors related to visual acuity are lights in the classroom, difficulty reading a blackboard, posture of children while watching TV, and distance from the TV set. Some of these factors may be the result of students' already poor visual acuity rather than causes of the decrease. In conclusion, many elementary school children experience significant decrease in visual acuity and need special intervention to maintain or improve their visual acuity.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.92-103
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• 2009

With the help of computer graphics technologies, the visual effects techniques using these technologies replaced most of special effects techniques which had been used for early films. For these changes, directors and visual effects creators make an effect in a scene through their mutual agreement in contemporary films. However, they undergo a lot of trial-and-error while making a visual effects scene because they cannot perfectly communicate their ideas due to the director's narrative language, and also because of the visual effect creator's language of computer graphics technology. This research suggests the design of a visual effects data retrieval system for efficient communication between directors and visual effects creators. This application provides the means to search a database analyzing visual effects scenes extracted from 14 remarkable movies in visual effect history by narrative and visual effects technique. They can search visual effects scenes using this application. also, this data can foster communication with directors and creators so they can make an efficient production pipeline.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Korean Institute of Interior Design Journal
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• no.19
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• pp.53-58
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• 1999

The goal of this paper is to understand the visual information process and the characteristics of behaviour of the architectural design process using visual protocol analysis through the actual experiment by the architect. The visual protocol analysis is developed on the basis of the theories of the visual information processing model and visual mental image, which can explain visual representation in architectural design process. A protocol study is reported in which the experimental data by architect is analyzed through the protocol analysis method. The whole design process is divided into the stage of 9 tasks which are classified into 18 visual representatiov. The results about visual cognition in cognitive science are reviewed and summarized, and these findings will help understand the architectural design nature.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.04a
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• pp.235-240
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• 2004

The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test and construction of simple silhouette figures. Then camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.10a
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• pp.213-218
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• 2003

The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test and construction of simple silhouette figures. Then camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.