• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.10
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• pp.1516-1522
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• 2017

We propose a novel monitoring system for diagnosing crack faults of the wind turbine using image information. The proposed method classifies a normal state and a abnormal state for the blade parts of the wind turbine. Specifically, the images are input to the proposed system in various states of wind turbine rotation. according to the blade condition. Then, the video of rotating blades on the wind turbine is divided into several image frames. Motion vectors are estimated using the previous and current images using the motion estimation, and the change of the motion vectors is analyzed according to the blade state. Finally, we determine the final blade state using the Support Vector Machine (SVM) classifier. In SVM, features are constructed using the area information of the blades and the motion vector values. The experimental results showed that the proposed method had high classification performance and its $F_1$ score was 0.9790.

• Journal of Korean Public Health Nursing
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• v.27 no.3
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• pp.564-577
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• 2013

Purpose: The purpose of this study was to address differences between mental health according to sasang constitution and ego state among college students. Methods: Data for this cross-sectional study were collected by administration of questionnaires eliciting Woo's ego state scale, QSCC II for the sasang constitution classification, and SCL-90-R for mental health to 393 college students. Analysis was performed using IBM SPSS (version 19.0). Results: The Free Child ego and Adapted Child ego differed significantly among sasang types. The ego-gram pattern of So-eum type exhibited the N pattern (Nurturing Parent (NP)>Adapted Child (AC)>Adult (A)>Free Child (FC)>Critical Parent (CP), AC-high type), however, the ego-gram pattern of other constitution types showed the M pattern (NP>FC>A>AC>CP). No statistically significant differences in mental health were observed among sasang types, however, among ego states, AC and CP showed negative correlation with mental health status. Between So-eum type and So-yang type, AC was the factor predicting mental health. Between Tae-eum type and undefined type, AC and CP were factors predicting mental health. Conclusion: These findings suggest that sasang constitution could be an important factor in understanding the ego state and mental health status. We conclude that sasang constitution should be considered in interpretation of mental health status presentation in clients.

• Smart Structures and Systems
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• v.29 no.3
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• pp.475-484
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• 2022

The loss of cable tension for civil infrastructure reduces structural bearing capacity and causes harmful deformation of structures. Currently, most of the structural health monitoring (SHM) approaches for cables rely on contact transducers. This paper proposes a cable tension identification technology using percussion sound, which provides a fast determination of steel cable tension without physical contact between cables and sensors. Notably, inspired by the concept of tensioning strings for piano tuning, this proposed technology predicts cable tension value by deep learning assisted classification of "percussion" sound from tapping a steel cable. To simulate the non-linear mapping of human ears to sound and to better quantify the minor changes in the high-frequency bands of the sound spectrum generated by percussions, Mel-frequency cepstral coefficients (MFCCs) were extracted as acoustic features to train the deep learning network. A convolutional neural network (CNN) with four convolutional layers and two global pooling layers was employed to identify the cable tension in a certain designed range. Moreover, theoretical and finite element methods (FEM) were conducted to prove the feasibility of the proposed technology. Finally, the identification performance of the proposed technology was experimentally investigated. Overall, results show that the proposed percussion-based technology has great potentials for estimating cable tension for in-situ structural safety assessment.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.181-196
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• 2001

This paper presents a fundamental study to establish a standardization system of the Construction Continuous Acquisition and Life-cycle Support(CALS). A state of the art in standardization of the Construction CALS is reviewed to find some defects in developing CALS system in construction industry. It is analyzed that three major parts were needed to set up a standardization system for the Construction CALS. Firstly, the range of Construction CALS standardization is set up to identifying Construction CALS and defining the standards and standardization. Secondly, the strategy to carry out more effectively in Construction CALS standardization and make the relationship of the concerned system presented here can be used to establish the Construction CALS standardization system. In addition, the spread and application device are proposed to use Construction CALS standards at public institution and construction related companies. Conclusively, a classification of the Construction CALS standards was proposed and some objects to be standardized were represented in that. Results studied in this paper will provide the primary information and basic model to develop a guideline for standardization of the Construction CALS.

• Journal of the Korean Mathematical Society
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• v.34 no.4
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• pp.973-1008
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• 1997

We reconsider the problem of calssifying all classical orthogonal polynomial sequences which are solutions to a second-order differential equation of the form $$ \ell_2(x)y"(x) + \ell_1(x)y'(x) = \lambda_n y(x). $$ We first obtain new (algebraic) necessary and sufficient conditions on the coefficients $\ell_1(x)$ and $\ell_2(x)$ for the above differential equation to have orthogonal polynomial solutions. Using this result, we then obtain a complete classification of all classical orthogonal polynomials : up to a real linear change of variable, there are the six distinct orthogonal polynomial sets of Jacobi, Bessel, Laguerre, Hermite, twisted Hermite, and twisted Jacobi.cobi.

• Journal of Korean Society for Quality Management
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• v.17 no.2
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• pp.64-69
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• 1989

This paper aims at analyzing the process capability and at determining an optimal condition by experimental designs using the 2-way classification with repitition in order to maintain lower Nacl content and to refine both of a very small quantity of fatty acid and various magnetic ions in the glycerin to use ion exchange resin treatment process. An optimal condition of each level combination in both of passing temperature of cation exchange resin($A_1$, $A_2$, $A_3$) and of anion exchange resin($B_1$, $B_2$, $B_3$) is $A_3B_3$. The process capability index is improved from 0.63 to 1.40 and is interpreted as a desirable state. This analysis of process capability by experimental designs will contribute to improving productivity and quality of products.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.1
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• pp.53-59
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• 2017

Optical character recognition (OCR) automatically recognizes text in an image. OCR is still a challenging problem in computer vision. A successful solution to OCR has important device applications, such as text-to-speech conversion and automatic document classification. In this work, we analyze character recognition performance using the current state-of-the-art deep-learning structures. One is the AlexNet structure, another is the LeNet structure, and the other one is the SPNet structure. For this, we have built our own dataset that contains digits and upper- and lower-case characters. We experiment in the presence of salt-and-pepper noise or Gaussian noise, and report the performance comparison in terms of recognition error. Experimental results indicate by five-fold cross-validation that the SPNet structure (our approach) outperforms AlexNet and LeNet in recognition error.

• Speech Sciences
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• v.8 no.2
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• pp.61-71
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• 2001

Speech material, which is collected from ARS(Automatic Response System), was analyzed and classified into disease and non-disease state. The material include 11 different kinds of diseases. Along with ARS speech, DAT(Digital Audio Tape) speech is collected in parallel to give the bench mark. To analyze speech material, analysis tools, which is developed local laboratory, are used to provide an improved and robust performance to the obtained parameters. To classify speech into disease and non-disease class, multi-layered neural network was used. Three different combinations of 3, 6, 12 parameters are tested to obtain the proper network size and to find the best performance. From the experiment, the classification rate of 92.5% was obtained.

• Child Health Nursing Research
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• v.7 no.2
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• pp.191-202
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• 2001

This study was attempted to help in explore new direction about classification of the severity of the pediatric patients visiting emergency center. Data were collected from 276 patients who visited emergency center of E University Hospital during 3 months period from March 1, to May 31,1999. The results were as follows: 1. The degree of severity of the pediatric patients visiting emergency center shown ranged 0-18 and averaged .87. 2. With the respect to the severity of the pediatric patients visiting emergency center, there were statiscally significant difference in patients' visiting time(F=2.607, p=.025), disease classification(F=9.606, p=.000), consciousness level(F=71.499, p=.000), period of symptom manifestation (F=2.262, p=.030), pediatric patients protector's thinking about pediatric patients state (F=16.833, p=.000), treatment outcome (t=5.362, p=.000), duration of stay at emergency center(F=23.944, p=.000).

• ETRI Journal
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• v.31 no.1
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• pp.10-20
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• 2009

In this paper, a video broadcasting system between a home-server-type device and a mobile device is proposed. The home-server-type device can automatically extract semantic information from video contents, such as news, a soccer match, and a baseball game. The indexing results are utilized to convert the original video contents to a digested or arranged format. From the mobile device, a user can make recording requests to the home-server-type devices and can then watch and navigate recorded video contents in a digested form. The novelty of this study is the actual implementation of the proposed system by combining the actual IT environment that is available with indexing algorithms. The implementation of the system is demonstrated along with experimental results of the automatic video indexing algorithms. The overall performance of the developed system is compared with existing state-of-the-art personal video recording products.