• Journal of Korean Ophthalmic Optics Society
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• v.19 no.4
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• pp.457-469
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• 2014

Purpose: This study was to evaluate students and optometrist in the importance and difficulty of work capability, and the educational needs for optometric duty in order to use them as basic data for the improvement of the curriculum. Methods: 292 ophthalmic optic's college students and 123 optometrists were surveyed in the importance and difficulty of work capability, and the educational needs for the optometric duty, and data was statistically analyzed for the results. Results: The mean of the importance of work capability was higher for the optometrists (3.61) than for the students (3.51) and glasses dispensing was the highest for both students and optometrists. The mean of the difficulty of work capability was higher for the students (2.75) than for the optometrists (2.67), which was the highest in refraction for the students and in prescription for the optometrists. The mean of educational needs was higher for the optometrists (3.53) than for the students (3.45), which was the highest in glasses dispensing for the students and highest in refraction for the optometrists. There were significant differences in some tasks in between the students by gender, grade and desired working place, while between the optometrists by gender, age, work experience, working place and working area (p<0.05). Conclusions: It is necessary to improve a curriculum of the Department of Opthalmic Optics, and develop a standard curriculum reflected the importance and the difficulty of work capability, and the educational needs regarding to optometric duty.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.675-680
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• 1990

According to the recent increase of demands for multi-function and economics on hydraulic excavator, it is required that excavator should have simple operation, higher and operational efficiency. However, it is difficulty for current hydraulic system to satisfy demands fully. This study shows that new control system improves power transmission efficiency, work capability of engine and hydraulic system of current excavator.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.3
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• pp.1-14
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• 2019

Cooperative systems among various unmanned vehicles are widely used in various field and emerging. Unmanned vehicles are able to operate various missions without operator onboard and they are highly stable. Collaborative work of multiple unmanned vehicles is emphasized due to the difficulty of recent missions such as SEAD (Suppression of the Enemy Air Defenses), MUSIC (Manned Unmanned Systems Integration Capability), goldentime in the rescue mission. In this study, ROS and Pixhawk were proposed as a method of construction of a collaboration system and framework for an integrated simulation environment for heterogeneous unmanned vehicles is proposed. Totally 5 unmanned vehicles were set for the simulation for the observation of illegal fishing boats. This paper shows the feasibility of the cooperative system using ROS and Pixhawk through the simulation and the experiment.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.13-20
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• 2013

Currently, SEAMCAT has been widely used as a tool to evaluate the effects of interference among wireless communication systems. In the previous work, we have incorporated the ITU-R P.526 pathloss model to the existing SEAMCAT in order to support the capability of interference evaluation taking into account any specific terrain characteristics. Along with this, we have implemented a terrain display function based on the Google map. However, the two-dimensional Google map based display is not effective in helping users to figure out some terrain features including the elevation variation in a given region. In order to alleviate this difficulty, we have incorporated the three-dimensional terrain display using the API of the Google earth to the existing SEAMCAT and provided the capability of viewing the positions of the associated communication systems, the variation of the carrier intensity and interference intensity in location, shadow region indication, and line-of-sight analysis and presented an example of interference evaluation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.15 no.6
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• pp.579-589
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• 2004

The radar signals are generally very sensitive to relative orientations between radar and target. Thus, the performance of a target recognition system significantly deteriorates as the region of aspect angles becomes broader. To address this difficulty, in this paper, we propose a method based on the multi-aspect information in order to improve the classification capability ever for a wide angular region. First, range profiles are used to extract feature vectors based on the central moments and principal component analysis(PCA). Then, a classifier with the use of multi-aspect information is applied to them, yielding an additional improvement of target recognition capability. There are two different strategies among the classifiers that can fuse the information from multi-aspect radar signals: independent methodology and dependent methodology. In this study, the performances of the two strategies are compared within the frame work of target recognition. The radar cross section(RCS) data of six aircraft models measured at compact range of Pohang University of Science and Technology are used to demonstrate and compare the performances of the two strategies.

• Geomechanics and Engineering
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• v.27 no.5
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• pp.511-525
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• 2021

In the design of underground excavation, the shear strength (SS) is a key characteristic. It describes the way the rock material resists the shear stress-induced deformations. In general, the measurement of the parameters related to rock shear strength is done through laboratory experiments, which are costly, damaging, and time-consuming. Add to this the difficulty of preparing core samples of acceptable quality, particularly in case of highly weathered and fractured rock. This study applies rock index test to the indirect measurement of the SS parameters of shale. For this aim, two efficient artificial intelligence methods, namely (1) adaptive neuro-fuzzy inference system (ANFIS) implemented by subtractive clustering method (SCM) and (2) support vector regression (SVR) optimized by Harmony Search (HS) algorithm, are proposed. Note that, it is the first work that predicts the SS parameters of shale through ANFIS-SCM and SVR-HS hybrid models. In modeling processes of ANFIS-SCM and SVR-HS, the results obtained from the rock index tests were set as inputs, while the SS parameters were set as outputs. By reviewing the obtained results, it was found that both ANFIS-SCM and SVR-HS models can provide acceptable predictions for interlocking and friction angle parameters, however, ANFIS-SCM showed a better generalization capability.

• Korean Journal of Computational Design and Engineering
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• v.21 no.1
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• pp.9-19
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• 2016

Applying human engineering simulation to analyzing work capability and movements of operators during manufacturing is highly demanded. However, difficulty in modeling digital human required for simulation makes engineers to be reluctant to utilize human simulation for their tasks. This paper addresses such problem on human engineering simulation by developing the technology to automatize human modeling with multiple Kinects at different depths. The Kinects enable us to acquire the movements of digital human which are essential data for implementing human engineering simulation. In this paper, we present a system for modeling automation of digital human. Especially, the system provides a way of generating the digital model of workers' movement and position using multiple Kinects which cannot be generated by single Kinect. Lastly, we verify the effects of the developed system in terms of modeling time and accuracy by applying the system to four different scenarios. In conclusion, the proposed system makes it possible to generate the digital human model easily and reduce costs and time for human engineering simulation.

• Korea journal of population studies
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• v.34 no.3
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• pp.179-209
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• 2011

This study explored the relationships among such variables as work-family compatibility, gender attitude, reasons for low birth rate, and education level, using a sample of 2,678 from the '2009 National Survey for Marriage and Birth Trend'. The purpose of this study was to identify the ideas about how to support married couples' work-family balance, and how to change gender attitude to promote childbirth. The results are as follows. The type of ideal work-family balance was different by education level, but not by gender. Low level of education was associated with choice of the full time work without a child. Male singles, compared to female singles, preferred the role of a man as a bread winner, and a woman as a house worker. Female singles had the higher level of hope for husband's capability of caring children. This trend was intensified by choice of the full time work with 2 children. Singles who prefer working as a full time worker with 2 children worried more about low birth rate in Korea than singles who prefer working as a part time worker with one or two children. The most frequently cited reason for low birth rate was 'high cost of both child care and education'. The next was 'difficulty in buying a residence, followed by 'increase in the number of career woman'. Female singles who want to work full time with 2 or more children worried more about the burden of child caring and education than male singles. Implications and suggestions were provided based on the results.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.447-453
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• 2016

Recently, the design and supervision separating system has have been widely adopted in Korea. In this system, the owner should exclude the architect who designed the building from supervisor in the same project. The design and supervision separating system has advantage of less fraudulent construction and weakness of design intention reflection difficulty in construction stage. In this study, the status, problems and solutions of this system are identified from expert survey and interview. The main results of this study are as follows. First, the work scope of designer and supervisor should be clear and the guidelines for this system should be clearly defined. Second, the optimal price for the work scope should be guaranteed. Also, the education program for the improvement of supervisor capability should be provided.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2390-2406
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• 2022

Scene text recognition has important application value and attracted the interest of plenty of researchers. At present, many methods have achieved good results, but most of the existing approaches attempt to improve the performance of scene text recognition from the image level. They have a good effect on reading regular scene texts. However, there are still many obstacles to recognizing text on low-quality images such as curved, occlusion, and blur. This exacerbates the difficulty of feature extraction because the image quality is uneven. In addition, the results of model testing are highly dependent on training data, so there is still room for improvement in scene text recognition methods. In this work, we present a natural scene text recognizer to improve the recognition performance from the feature level, which contains feature representation and feature enhancement. In terms of feature representation, we propose an efficient feature extractor combined with Representative Batch Normalization and ResNet. It reduces the dependence of the model on training data and improves the feature representation ability of different instances. In terms of feature enhancement, we use a feature enhancement network to expand the receptive field of feature maps, so that feature maps contain rich feature information. Enhanced feature representation capability helps to improve the recognition performance of the model. We conducted experiments on 7 benchmarks, which shows that this method is highly competitive in recognizing both regular and irregular texts. The method achieved top1 recognition accuracy on four benchmarks of IC03, IC13, IC15, and SVTP.