• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7193-7203
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• 2014

This study examined the career commitment and professionalism of perioperative nurses and their impact on the organizational commitment. The subjects were 315 perioperative nurses who were attending the annual conference of the Korean Association of Perioperative Nurses. The data was analyzed by descriptive statistics, ANOVA, and stepwise multiple linear regression using the SPSS/PC 18.0 program. The average level of organizational commitment of the nurses was $3.04{\pm}.42$, whereas the level of career commitment and professionalism were $2.89{\pm}0.67$ and $3.04{\pm}0.29$, respectively. Both factors were found to be influencing factors on the organizational commitment. These variables explained 37.3% of the variance of organizational commitment, and the career commitment (${\beta}$=0.395) was a more influential factor than the professionalism (${\beta}$=0.298).

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.5
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• pp.703-711
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• 2013

The effort for identifying personal information for example one's personality, based on one's handwriting has been continued in foreign countries, however, there is no research on the graphology for Korean in Korea. In the area of handwriting analysis, of course, they have made attempts to identifying people depended on expert's individual ability or judgment. For these reasons, the academic approach is needed for the graphology for Korean. In this thesis, we performed the frequency analysis, test of difference, cross tabulation analysis, factor analysis, correlation analysis, regression analysis and logistic regression analysis by using the data on the test of personality diagnosis based on 5 factors method and writing habits such as the size and slope of letters for 339 adults. It can be shown that the 5 factors method has high consistency and reliability, so we accept these 5 factors as the personalities. In cross tabulation analysis, it is found that there is significant relationship between sex and the size of letters, hometown and the margin, job and habit. The correlations between 5 factors are very high and we can find the useful relationships between 5 factors and writing habit through regression analysis and correlation analysis. It is difficult and impossible to compare the Graphology between English and Korean because there are various interpretations and structures of Korean that is much different from those of English. But it is very important to try to test and analyze the Graphology in Korean to found the basic theories at the present stage when there is no research on the graphology for Korean.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.9
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• pp.729-738
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• 2021

Feedback flow control using an artificial neural network was numerically investigated for NACA0015 Airfoil to suppress flow separation on an airfoil. In order to achieve goal of flow control which is aimed to reduce the size of separation on the airfoil, Blowing&Suction actuator was implemented near the separation point. In the system modeling step, the proper orthogonal decomposition was applied to the pressure field. Then, some POD modes that are necessary for flow control are extracted to analyze the unsteady characteristics. NARX neural network based on decomposed modes are trained to represent the flow dynamics and finally operated in the feedback control loop. Predicted control signal was numerically applied on CFD simulation so that control effect was analyzed through comparing the characteristic of aerodynamic force and spatial modes depending on the presence of the control. The feedback control showed effectiveness in pressure drag reduction up to 29%. Numerical results confirm that the effect is due to dramatic pressure recovery around the trailing edge of the airfoil.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.157-165
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• 2016

Among high-tech products, the mobile phone has experienced a rapid rate of innovation and a shortening of its product life cycle. The shortened product life cycle poses major challenges to those involved in the creation of forecasting methods fundamental to strategic management and planning systems. This study examined whether the best model applies to the entire diffusion life span of a mobile phone. Mobile phone sales data from a specific mobile service provider in Korea from March of 2013 to August of 2014 were analyzed to compare the performance of two S-shaped diffusion models and two non-linear regression models, the Gompertz, logistic, Michaelis-Menten, and logarithmic models. The experimental results indicated that the logistic model outperforms the other three models over the fitted region of the diffusion. For forecasting, the logistic model outperformed the Gompertz model for the period prior to diffusion saturation, whereas the Gompertz model was superior after saturation approaches. This analysis may help those estimate the potential mobile phone market size and perform inventory and order management of mobile phones.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.264-264
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• 2020

최근 기후변화로 우리나라는 과거에 비해 태풍이나 국지성 집중호우 및 가뭄 등 극심한 수문현상이 빈번하게 발생하고 그 피해가 더욱 커지고 있는 추세이다. 특히 우리나라의 경우 산지가 많으며 대부분의 하천이 유역면적이 작고 유로연장이 짧아 단시간에 유출이 발생하며 수문학적 특성이 연중 큰 편차를 보이고 있다. 이러한 이상기후에 따른 수문현상 파악 및 피해 경감을 위해 신뢰성 있는 수문자료는 매우 중요하다. 따라서 수문자료에 대한 품질관리는 필수적이지만 자료 결측 및 오측에 대한 신뢰성 높은 품질관리가 이뤄지지 못하고 있는 실정이다. 현재 수위자료의 결측이 발생한 경우 해당 관측소의 수위 자료를 사용해 선형보간 및 운형자법으로 수정하거나 상·하류 관측소의 관계를 이용하여 회귀분석을 통해 자료 결측의 수정 및 보완을 수행하는 등 담당자의 주관적 판단에 의존하고 있다. 본 논문에서는 신뢰성 높은 수문자료의 결측치 보완 및 예측을 위한 방안을 제시하고자 상류의 관측소의 수문자료를 이용한 하류의 단시간 수문 자료예측에 관한 연구를 수행하였다. 이를 위해 자료지향형 모델인 적응형 뉴로-퍼지 기법(Adaptive Network-based Fuzzy Inference System, ANFIS)을 이용한 모형을 적용하였다. 기존의 연구에서 가장 일반적으로 사용되는 물리적 모형은 수문자료를 활용하여 수위 및 유출을 산정함에 있어 매개변수의 결정이 어렵고 많은 오차들을 내포하고 있다. 본 연구에서 사용한 ANFIS는 입력자료와 출력자료만을 고려하여 구축할 수 있기 때문에 자료 수집단계에서 유역의 물리적 자료 및 지형 자료와 같은 방대한 양의 자료 수집이 필요가 없다. 이후 모형이 구축이 된다면 입·출력 자료만을 이용하여 신뢰성 높은 결과를 획득할 수 있지만 입력 자료의 품질에 따라 결과가 좌우되기 때문에 자료의 구성이 매우 중요하다. 본 연구에서는 ANFIS를 통해 무주남대천 유역의 무주군(여의교) 관측소의 수위자료를 입력자료를 사용하여 하류에 위치한 무주군(취수장) 관측소의 수문자료의 결측 보완 및 예측하는 모형을 구축하고 모형의 구조 변화를 통해 가장 정확도 높은 모형을 결정하였다.

• Journal of The Korean Association For Science Education
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• v.35 no.5
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• pp.907-917
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• 2015

Response to Intervention (RTI), which is focused on the gap between pre-interventions and post-interventions, provides an effective intervention program. This study takes under-achievement factors into consideration to determine the overall characteristics of underachievers. The under-achievement factors include cognitive learning factors, affective factors, and environmental factors. This study conducted curriculum-based assessments, achievement tests, and assessments on attitudes toward science and science learning motivation to verify the effects of individually tailored teaching according to the types of under-achievement in science. The experimental group was composed of six students in fourth grade, and the comparison group had 23 students. The findings of the study were as follows. First, the performance and progress of underachievers in the first-stage showed little progress and did not reach grade-level performance. Second, the underachievers in the second-stage greatly improved. In particular, the average of eight sessions in the second-step demonstrated performance beyond that of the regular child. Third, individually tailored teaching according to the types of under-achievement in science positively affected attitudes toward science and science learning motivation. This study will contribute to the improvement of the underachiever by applying individually tailored teaching according to the types of under-achievement in science.

• The Journal of Korean Society for Radiation Therapy
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• v.29 no.2
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• pp.119-128
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• 2017

Purpose: The purpose of this study was to measure the average actual treatment time at the time of Tomotherapy treatment. We want to investigate the time required for the procedure in the treatment process that affects the actual treatment time. Patients and Methods: We measured the time required by the procedure in 31 patients who were treated with tomography therapy. Beam-on time, Image registration time, Set-up with scan time and Actual treatment time were measured and stepwise regression analysis was performed. Result: The average treatment time per a patient was 21.44 - 23.92 minutes. Beam-on time, Image registration time, and Set-up with Scan time were the important factors affecting the actual treatment time. The biggest influence was Beam-on time and Registration time was less affected by analysing. Conclusion: The average treatment time per a patient in tomotherapy treatment was $22.68{\pm}3.37$ minutes. The Approximately 21 patients are expected to be treated within 8 hours of regular work time. However, if the treatment is interrupted or the time of the procedure is changed during the treatment process, it affects the schedule of the daily treatment patients and the workload is expected to increase.

• Journal of the Korean GEO-environmental Society
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• v.16 no.2
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• pp.5-13
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• 2015

In the present study, the prediction methods of the crest settlement after impounding and the maximum internal settlement during dam construction were proposed through the analysis on settlement data at 38 monitored points of 36 Concrete-Faced Rockfill Dams (CFRDs). The results from this analysis provided that the crest settlement and the maximum internal settlement are increased in proportion to the dam height and the void ratio. However, the relationship between internal settlement and dam height for each void-ratio range plotted in semi-logarithmic scale is the nearly same. Also, the prediction of the crest settlement of the CFRD is possible through the maximum internal settlement during dam construction. In addition, it seems that the valley shape highly affects the dense dam body with high construction modulus. The results of this study will provide the useful tool for the design, construction and management of CFRDs.

• The Journal of Bigdata
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• v.5 no.2
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• pp.1-15
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• 2020

The duty-free industry before COVID-19 has continuously grown since 2000, along with the increase of demand in tourism industry. To cope with the increased demand, the duty free companies have kept the strategies which focused on the sales volume. Therefore, they have developed the ways to increase the volume and capacity, not the efficient operations. In the most of previous research, however, authors have proposed the better strategies for marketing and supporting policies. It is very hard to find the previous research which dealt with the operations like logistics and inventory management. Therefore, in this study, it has been predicted the future demand of frequently purchased items in airport duty free shops based on the estimated number of departing passengers by the linear regression, which concluded with the appropriate inventory level. In addition, it has been analyzed the expected effects by introducing the inventory management policy considering the cost and efficiency of operations. Based on the results of this study, it may be possible to reduce total cost and improve productivity by predicting the excessive inventory problems at duty-free shops and improving cycles of supplying items.

• Korean journal of applied entomology
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• v.61 no.4
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• pp.577-590
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• 2022

Ostrinia scapulalis is one of important pests in leguminous crops, especially red bean. In order to understand the biological characteristics of the insect, we investigated the effects of temperature on development of each life stage, adult longevity and fecundity of O. scapulalis at eleven constant temperatures of 7, 10, 13, 16, 19, 22, 25, 28, 31, 34, and 36℃. Eggs and larvae successfully developed next life stage at most temperature subjected except 7, 10 and 13℃. The developmental period of egg, larva and pupa decreased as temperature increased. Lower and higher threshold temperature (TL and TH) were calculated by the Lobry-Rosso-Flandrois (LRF) and Sharpe-Schoolfield-Ikemoto (SSI) models. The lower developmental threshold (LDT) and thermal constant (K) from egg hatching to adult emergence of O. scapulalis were estimated by linear regression as 13.5℃ and 384.5DD, respectively. TL and TH from egg hatching to adult emergence using SSI model were 19.4℃ and 39.8℃. Thermal windows, i.e., the range in temperature between the minimum and maximum rate of development, of O. scapulalis was 20.4℃. Adults produced viable eggs at the temperature range between 16℃ and 34℃, and showed a maximum number, ca. 416 offsprings, at 25℃. Adult models including aging rate, age-specific survival rate, age-specific cumulative oviposition, and temperature-dependent fecundity were constructed, using the temperature-dependent adult traits. Temperature-dependent development models and adult oviposition models will be useful components to understand the population dynamics of O. scapulalis and will be expected using a basic data for establishing the strategy of integrated pest management in leguminous crops.