• Journal of Welding and Joining
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• v.31 no.3
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• pp.44-48
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• 2013

Artificial neural network (ANN) model is applied to predict arc welding process window for automotive steel plate. Target weldment was various automotive steel plate combination with lap fillet joint. The accuracy of prediction was evaluated through comparison experimental result to ANN simulation. The effect of ANN variables on the accuracy is investigated such as number of hidden layers, perceptrons and transfer function type. A static back propagation model is established and tested. The result shows comparatively accurate predictability of the suggested ANN model. However, it restricts to use nonlinear transfer function instead of linear type and suggests only one single hidden layer rather than multiple ones to get better accuracy. In addition to this, obvious fact is affirmed again that the more perceptrons guarantee the better accuracy under the precondition that there are enough experimental database to train the neural network.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.429-432
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• 2009

본 논문에서는 IEEE 802.11 WLAN(Wireless LAN)에서 기본 액세스 방식인 DCF(Distributed Coordination Function)의 성능을 높이기 위하여 개선된 알고리즘을 제안한다. CDMA/CA(Carrier Sense Multiple Access with Collision Avoidance)기반인 DCF는 스테이션의 적은 상황에서는 비교적 우수한 성능을 나타내지만 스테이션이 많은 혼잡상황에서는 처리율, 지연율, 충돌률 관점에서 성능이 큰 폭으로 저하된다. 본 논문에서는 패킷 전송 후 충돌이 발생하면 CW(Contention Window)를 4배 증가 시켜주고 패킷의 전송이 성공 시에는 CW를 서서히 줄여주어 연쇄적인 충돌과 잠재적인 충돌을 미연에 방지함으로써 패킷 충돌의 확률을 낮추어 주는 알고리즘을 제안하고 시뮬레이션을 이용하여 성능을 입증한다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.3
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• pp.166-173
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• 2005

Preserving image features, edges and details in the process of impulsive noise filtering is an important problem. To avoid image blurring, only corrupted pixels must be filtered. In this paper, we propose an effective impulse noise detection method using Self-Organizing Neural Network(SONN) which applies median filter selectively for removing random-valued impulse noises while preserving image features, edges and details. Using a $3\times3$ window, we obtain useful local features with which impulse noise patterns are classified. SONN is trained with sample image patterns and each pixel pattern is classified by its local information in the image. The results of the experiments with various images which are the noise range of $5-15\%$ show that our method performs better than other methods which use multiple threshold values for impulse noise detection.

• Journal of the Korean Home Economics Association
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• v.34 no.4
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• pp.245-256
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• 1996

The purpose of this study were 1) to understand clothing involvement and body cathexis of elderly women, 2) to examine differences between store atmosphere factor on clothing involvement and body cathexis, 3) to find out its relationship with clothing involvement and body cathexis. Data were collected by questionnaire of 248 elderly women. Frequency, factor analysis, Chi-square, t-test, F-test, F-test, correlation and Duncan's multiple range test were used in data analysis. As a result, 1) clothing involvement of elderly women were classified with importance, fashion and interest, symbolism factor and there was significant differences with display, comfort, interior, convenience factor. 2) Elderly women were not satisfied with their body sufficiently and there was significant differences only display factor(store location, show window, display). 3) Clothing involvement was significant differences variables were found in relationship to body cathexis except income. 4) There was positive correlation between clothing involvement and body cathexis. The higher body cathexis, the more interest clothing.

• ETRI Journal
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• v.37 no.4
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• pp.657-666
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• 2015

We propose a two-stage resource allocation algorithm for the high link utilization of an orthogonal frequency-division multiplexing passive optical network (OFDM-PON). An OFDM-PON is assumed to use a synchronous frame structure in supporting service differentiation. In distributing resources, the proposed algorithm first allocates a time window for each optical network unit (ONU), and then it arranges a subchannel, which is a group of subcarriers. This algorithm needs to satisfy two constraints. First, computations for the resource allocation should be done using a frame unit. Second, an ONU has to use a single subchannel to send upstream data for multiple services within a frame duration. We show through a computer simulation that the proposed algorithm improves the link utilization.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.3
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• pp.343-350
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• 2010

Purpose: This study was conducted to identify the factors that influence low back pain in nurses in Intensive Care Units (ICUs). Methods: A descriptive-correlational design was used, with a convenience sample of 116 nurses from one university hospital in Seoul. The data collected were processed using SPSS Window 17.0 Program for actual numbers and percentages, differences in the dependent variable according to general characteristics, and mean, standard deviations, correlation coefficients and multiple regression analysis. Results: The factor influencing low back pain in nurses in ICUs was functional ability (${\beta}$=.652). This one factor explained 41.9% of low back pain in nurses in ICUs. Conclusion: These results show that functional ability was related to nurses' low back pain in nurses in ICUs. These results further suggest that more research is needed to develop program involving functional ability to prevent and management of low back pain in nurses in ICUs.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.356-365
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• 2016

The purpose of this study was to verify the influences of sport enjoyment factors on recreation specialization of water sports participants. The study conducted a research survey through purposive sampling method after selecting 4 water sports center in Busan. 260 questionnaires distributed and 246 were selected as final valid sample by removing 14 questionnaires that have insufficient answers. Then data were analyzed through exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis using SPSS Window ver. 20.0. The results were as followings. First, the enjoyment factors have a positive effect on recreation specialization. Second, escaping from daily routine and improving technical skill dimensions of enjoyment factors have an influence on centrality of life. Third, improving technical skill dimension of enjoyment factors have a positive effect on past experience. Lastly, flow and improving technical skill dimensions of enjoyment factors have an influence on economic investment.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.2
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• pp.492-502
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• 2017

The purpose of this study was to verify the influences of surfing participants' participation motivation on flow experience and continuous participation intention. The study conducted a research survey through purposive sampling method after selecting 2 surfing center in Ganwon-do. 280 questionnaires distributed and 269 were selected as final valid sample by removing 11 questionnaires that have insufficient answers. Then data were analyzed through exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis using SPSS Window ver. 20.0. The results were as followings. First, participation motivation factors have positive effect on flow experience. Second, participation motivation factors have an influence on continuous participation intention. Third, flow experience have an influence on continuous participation intention. Fourth, leisure flow have an influence on continuous participation intention.

• Journal of Communications and Networks
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• v.5 no.1
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• pp.19-24
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• 2003

A new code, LS code, was proposed for the IMT-2000 CDMA system. The code has special properties during a specific time interval: 1) perfect autocorrelation, and 2) perfect crosscorrelation. Perfect autocorrelation means maximum autocorrelation for zero time-offset and zero autocorrelation for all other times during a specific time interval. Moreover, perfect crosscorrelation means that the crosscorrelation has zero value during a certain time, you can remove all the MAI within that time. However, the detailed properties of LS code and its exact generation method have been previously unknown. Therefore, we investigate the LS code in regards to its exact generating method, properties, and performances in this paper.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.12
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• pp.92-99
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• 2021

The ever-growing demand for enhanced competitiveness of engineered systems require designing in quality strategies that can efficiently incorporate multiple design attributes into a system. In a robust design, there must be consideration for any uncontrollable factors that should not be disregarded in the design process. Studies on multi-attribute design challenges usually assume mutual utility independence amongst the design attributes. However, mutual utility independence does not exist in every design situation. In this study, a new robust design methodology that has two utility-dependent attributes are presented. The proposed method was then compared with a traditional robust design that utilizes a wave soldering process design. The results of this case study indicate that the proposed method yields a better solution than the traditional method.