• The Journal of Korean Physical Therapy
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• v.22 no.3
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• pp.37-44
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• 2010

Purpose: The purpose of this study was to describe the functional (mobility, self-care, social ability) and health-related quality of life in children with cerebral palsy (CP). Methods: A cross- sectional survey of 202 children with CP, mean age $5.91{\pm}1.57$ years, was carried out using the Gross Motor Function Classification System (GMFCS), Gross Motor Function Measure (GMFM), Pediatric Evaluation of Disability Inventory (PEDI), and Child Health Questionnaire (CHQ). Results: The functional assessment of children with CP showed that a more severe GMFCS level was associated with lower functional abilities (p<0.05). The health-related quality of life assessment showed that psychosocial well-being was less impaired than physical well-being. The internal consistency of the three instruments was satisfactory (cronbach's ${\alpha}$>0.80). The three different scales were correlated from moderate to strong (r=0.44 to 0.92). It was also found that mobility, tone distribution, and the parents' education level exerted a significant effect on the quality of life of children with CP (p<0.05). Conclusion: These findings suggest that children with CP have reduced function and quality of life and these are influenced by various factors. However, planning and application of various task-oriented functional interventions to childhood CP may be useful.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.425-432
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• 2002

The purpose of this study is to help implement KISTI knowledge management systems through analysis of ordering which is most important among system characteristics. This study uses Delphi technique to specialist in science and technology knowledge content area for empirical analysis. The result of this study is as fellowed First the most important characteristic is retrieval function in systems. Second knowledge management systems basic characteristics like as retrieval function storage/retention function accessibility, easy of use, classification function lank high position while additional characteristics like as knowledge linkage knowledge evaluation personalization communication supporting, multimedia supporting lank low position.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.425-432
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• 2002

The purpose of this study is to help implement KISTI knowledge management systems through analysis of ordering which is most important among system characteristics. This study uses Delphi Technique to specialist in science and technology knowledge content area for empirical analysis. The result of this study is as followed First, the most important characteristic is retrieval function in systems. Second knowledge management systems basic characteristics like as retrieval function storage/retention function, accessibility, easy of usa classification function lank high position while additional characteristics like as knowledge linkage, knowledge evaluation, personalization, communication supporting, multimedia supporting lank low position.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.39-42
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• 2004

We have designed a portable electronic nose(e-nose) system using an array of commercial gas sensors for recognition and analyzing the various odours. In this paper, we have implemented a portable e-nose system using an array gas sensors and personal digital assistants(PDA) for recognizing and analyzing volatile organic compounds(VOCs) in the field. Field screening for pollutants has been a target of instrumental development for number of year. A portable e-nose system can be substantial benefit to rapidly localize the spacial extent of a pollution or to find pollutants source. And, by using PDA, E-nose have a better function such as the easy user-interface and data transfer by internet from on- site to remote computer. We adapted the Levenberg-Marquardt algorithm based on the back-propagation and proposed the method that could be predicted concentration levels of VOCs gases after classification by separating neural network into two parts.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.24 no.9
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• pp.675-681
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• 2014

This paper proposes a fault diagnosis system for an induction motor. This system uses empirical mode decomposition(EMD) to extract fault signatures and multi-layer perceptron(MLP) neural network to facilitate an accurate fault diagnosis. EMD can not only decompose a signal adaptively but also provide intrinsic mode functions(IMFs) containing natural oscillatory modes of the signal. However, every IMF does not represent fault signature, an IMF selection algorithm based on harmonics and their energy of each IMF is proposed. The selected IMFs are utilized for fault classification using MLP and this system shows approximately 98 % diagnosis accuracy for the fault vibration signal of the induction motor.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.262-271
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• 2014

The purpose of this study was to find the effect of Day Hospital Rehabilitation programs on gross motor function in children with cerebral palsy. The subjects were 57 children with spastic cerebral palsy with no previous botulinum toxin injection or operation history within 6 months. The Gross Motor Function Measure(GMFM) score and Gross Motor Function Classification System(GMFCS) were used to evaluate as functional change and functional level. The Programs for Day Hospital Rehabilitation period for cerebral palsy children was 8 weeks. The results of the study are as follows: 1, GMFM Score of pre- and post-programs for Day Hospital Rehabilitation showed the statistically significant difference(p <.001). 2, The age group in 1-2 was higher than age 5-6 group, 3-4 was higher than age 5-6 group by Post-hoc analysis. Lastly, there was significantly different of GMFM in GMFCS level(p<.05), especially mild(GMFCS level I) and moderate(GMFCS level II, III) of CP showed that gross motor function was significantly different than severe(GMFCS level IV, V). The programs for Day Hospital Rehabilitation was effective on gross motor function for children with cerebral palsy, and for early intervention needs to mild, moderate CP, and below age 4 group.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.154-162
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• 2019

Despite the development of information and communication technology, which has a great impact on society and culture, there is no platform that provides a systematic classification and state-of-the-art information retrieval system on the traditional culture. Therefore, this paper developed a traditional culture retrieval system capable of convergence services with systematic classification and retrieval based on automatically generate and visualize the 3D timeline. This system provides the function of collecting traditional culture contents, classifying and storing collected traditional culture contents, and automatically generating 3D digital timeline based on stored traditional culture contents. In addition, a system satisfaction questionnaire was developed to evaluate the usability of the system, and 19 students participated in verifying the system. As a result of the experiment, the satisfaction of the system showed that all items were 'satisfied' on average.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.239-241
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• 2012

The major industrialized nations have continued to develop industrialized construction techniques based on automated production processes in factories, and are applying them to a wide range of building. However, the unit modular construction system has had a shorter history of development and application in Korea compared to advanced countries, and consequently, Korean modular builders have a relatively poor technical capacity. So this study is draw a conclusion on the target of priority improvement for idea creation. It study on the enhancement of the functionality of the tool for assemble of Unit Modular that choose the enhancement of the functionality through the analysis of function on the three-level of functional definition and classification, functional arrangement, functional appraisal.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.5
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• pp.267-276
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• 2016

Human detection technologies are widely used in smart homes and autonomous vehicles. However, in order to detect human, autonomous vehicle researchers have used a high-resolution LIDAR and smart home researchers have applied a camera with a narrow detection range. In this paper, we propose a novel method using a low-cost and low-resolution LIDAR that can detect human fast and precisely without complex learning algorithm and additional devices. In other words, human can be distinguished from objects by using a new human characteristics function which is empirically extracted from the characteristics of a human. In addition, we verified the effectiveness of the proposed algorithm through a number of experiments.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.10
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• pp.135-140
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• 1997

The detection of cutting tool states in machining is important for the automation. The information of cutting tool states in metal cutting process is uncertain. Hence a industry needs the system which can detect the cutting tool states in real time and control the feed motion. Cutting signal features must be sifted before the classification. In this paper the Fisher's linear discriminant function was applied to the pattern recognition of the cutting tool states successfully. Cutting conditions and cutting force para- meters have shown to be sensitive to tool states, so these cutting conditions and cutting force paramenters can be used as features for tool state detection.