• Journal of the Microelectronics and Packaging Society
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• v.19 no.2
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• pp.7-15
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• 2012

Semiconductor packages are increasingly moving toward miniaturization, lighter and multi-functions for mobile application, which requires highly integrated multi-stack package. To meet the industrial demand, the package and silicon chip become thinner, and ultra-thin packages will show serious reliability problems such as warpage, crack and other failures. These problems are mainly caused by the mismatch of various package materials and geometric dimensions. In this study we perform the numerical analysis of the warpage deformation and thermal stress of 4-layer stacked FBGA package after EMC molding and reflow process, respectively. After EMC molding and reflow process, the package exhibits the different warpage characteristics due to the temperature-dependent material properties. Key material properties which affect the warpage of package are investigated such as the elastic moduli and CTEs of EMC and PCB. It is found that CTE of EMC material is the dominant factor which controls the warpage. The results of RSM optimization of the material properties demonstrate that warpage can be reduced by $28{\mu}m$. As the silicon die becomes thinner, the maximum stress of each die is increased. In particular, the stress of the top die is substantially increased at the outer edge of the die. This stress concentration will lead to the failure of the package. Therefore, proper selection of package material and structural design are essential for the ultra-thin die packages.

• Journal of Korea Water Resources Association
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• v.40 no.2 s.175
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• pp.147-158
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• 2007

This study attempted to determine a suitable hydrologic model for assessing the impact of climate change on water resources, and to assess the accuracy of streamflow scenarios simulated by the selected hydrologic model using the meteorological scenarios of the Seoul National University Regional Climate Model(SNURCM). Comparison of four water balance models and two daily conceptual rainfall-runoff models for the simulation capability of the Daecheong Dam inflow indicated that the abcd model performs the best among the tested water balance models and performs as well as SSARR that is popular as a daily rainfall-runoff model in Korea. Parameters of the abcd model were then estimated for 12 ungauged subbasins of the Geum River by the regionalization method. The model parameters were first calibrated at nine multi-purpose dams and were then regionalized using catchment characteristics for another four multi-purpose dams, which were assumed to be ungauged sites. The model efficiency(ME) coefficients of the simulated inflows for these four dams were at least 87%. The MEs of the hindcasted meteorological rainfall scenarios of the 12 subbasins of the Geum River were more than 60%. Moreover, the ME of the Daecheong Dam inflow simulated by the abcd model using the SNURCM rainfall scenarios was more than 80%. Therefore, this research concluded that the abcd model coupled with the SNU-RCM meteorological scenarios can be used for impact assessment studies of climate change on water resources.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.532-542
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• 2018

Because maglev trains have a propulsion and absorption force without contact with the rails, they can drive safely at high-speed with little oscillation. Recently, test model of a maglev propulsion train was produced and operated, and has since been chosen as a national growth industry in South Korea; there have been many studies and considerable investment in these fields. This study examined the dynamic responses due to bridge-maglev train interaction and basic material to design bridges for maglev trains travelling at high-speed. Depending on the major factors affecting the dynamic effects, the scope of this study was restricted to the relationship between dynamic responses. A concrete box girder was chosen as a bridge model and injured train and rail types in domestic production were selected as the moving train load and guideway analysis model, respectively. From the analysis results, the natural frequency of a bridge for a maglev train, which has a deflection limit L/2000, was higher than those of bridges for general trains. The dynamic responses of the girder of the bridge for a maglev train showed a substantial increase in proportion to the velocities of the moving train like other general bridge cases. Maximum dynamic response of the girder is shown at a moving velocity of 240km/h and increased with increasing moving velocity of train. These results can be used to design a bridge for maglev propulsion trains and provide the basic data to confirm the validity and verification of the design code.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.1
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• pp.175-199
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• 2017

Children's literature has a significant impact on children's intelligence and emotional development. The interest in children's literature is increasingly growing with the expectation of the award winning books and the educational values of children's books. Although the interest has brought about a quantitative increase in the domestic children's books, it has difficulty selecting high-quality children's books among various books. In such an environment, the Children's Literature Award will provide an authoritative source of choice, which will help guide the selection of quality books to those who want to read children's books. In addition to this trend, the library should check the status of winning works and incorporate them into new collection development policies. The purpose of this study is to present the direction of the library book development policy of the public library. For this purpose, 10 public libraries in Seoul, Korea were selected and analyzed quantitatively and qualitatively through the collection status of the children's literature winning books, loan status, turnover, Bonn's use Factor, and Trueswell's 80/20 rule. Based on the results of this analysis, we would like to suggest some issues to be reflected in library development policy of the future.

• Journal of Korea Water Resources Association
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• v.56 no.2
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• pp.91-101
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• 2023

In this study, we estimated the concentration of chlorophyll-a (Chl-a) using hyperspectral water surface reflectance in an inland weir (Baekjae weir) and estuarine reservoir (Namyang Reservoir) for monitoring the occurrence of algae in freshwater in South Korea. The hyperspectral reflectance was measured by aircraft in Baekjae Weir (BJW) from 2016 to 2017, and a drone in Namyang Reservoir (NYR) from 2020 to 2021. The 30 reflectance bands (BJW: 400-530, 620-680, 710-730, 760-790 nm, NYR: 400-430, 655-680, 740-800 nm) that were highly related to Chl-a concentration were selected using permutation importance. Artificial neural network based Chl-a estimation model was developed using the selected reflectance in both water bodies. And the performance of the model was evaluated with the coefficient of determination (R²), the root mean square error (RMSE), and the mean absolute error (MAE). The performance evaluation results of the Chl-a estimation model for each watershed was R²: 0.63, 0.82, RMSE: 9.67, 6.99, and MAE: 11.25, 8.48, respectively. The developed Chl-a model of this study may be used as foundation tool for the optimal management of freshwater algal blooms in the future.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.1-12
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• 2024

In many real-world data, multiple response variables are often dependent on the same set of explanatory variables. In particular, if several response variables are correlated with each other, simultaneous estimation considering the correlation between response variables might be more effective way than individual analysis by each response variable. In this multivariate regression analysis, least distance estimator (LDE) can estimate the regression coefficients simultaneously to minimize the distance between each training data and the estimates in a multidimensional Euclidean space. It provides a robustness for the outliers as well. In this paper, we examine the least distance estimation method in multivariate linear regression analysis, and furthermore, we present the penalized least distance estimator (PLDE) for efficient variable selection. The LDE technique applied with the adaptive group LASSO penalty term (AGLDE) is proposed in this study which can reflect the correlation between response variables in the model and can efficiently select variables according to the importance of explanatory variables. The validity of the proposed method was confirmed through simulations and real data analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.426-426
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• 2022

하천에서 유사량은 침식(Erosion), 유송(Transport), 퇴적(Deposition)의 3단계 과정으로 진행되며 이 과정에서 다양한 유사 문제가 수반되고 있다. 특히, 하상변동의 예측, 하천계획 수립 등 수자원 개발을 위해 유사량 조사는 반드시 필요하다. 따라서 국외에서는 오래전부터 하천 유사이송과정에 대한 이론적인 개념을 정립하고 양질의 유사량 자료를 위해 연구해 오고 있다. 국내에서는 대표적으로 한국수자원조사기술원에서 유사량조사 업무를 수행하고 있으며 국가유사량관측망 중 매년 약 20개소~30개소의 지점을 대상으로 신뢰성 있는 자료를 만들기 위해 지속적으로 연구하고 있다. 유사량 조사의 항목 중 부유사 채취를 위한 측선수는 하천 폭(ISO 기준)에 따라 5개~7개의 측선에서 부유사를 채취하고 있으며, 강우가 활발한 홍수기 전, 후로 단면측량 및 하상토 자료를 통해 총유사량을 산정하고 있다. 본 연구의 분석방법으로는 이신재(2021)가 제안한 방법을 착안하였고, 측선별 부유사농도와 평균부유사농도의 비교분석 통해 상관계수(R²)가 가장 높은 측선을 선택하여 지표부유사량(Index Suspended Sediment) 산정에 활용하였다. 대상지점으로는 연속 유사량 자료 생산이 가능한 낙동강유역의 함안군(계내리) 관측소와 영산강유역의 구례군(구례교) 관측소를 선정하였다. 먼저, 지표 유사량은 평균부유사농도와 측선별 부유사농도를 비교분석하였으며, 함안군(계내리) 관측소는 5번 측선(R²=0.9869), 구례군(구례교) 관측소는 2번 측선(R²=0.9929)을 통해 지표부유사량을 산정하였다. 그 결과 하천특성에 따라 측정된 부유사량과 지표부유사량의 편차율(함안군(계내리) : 최대 33%, 최소 1%, 구례군(구례교) : 최대 25%, 최소 1%)이 다소 상이한 구간이 발생하였지만 이들의 상관계수(R²)는 각각 0.9922, 0.9947로 매우 높게 산정되었다. 이러한 결과를 통해 제시한 지표 설정은 실제 업무에서 활용 가능할 것으로 판단되며, 추후 과거년도의 하천특성과 수리특성 분석을 통해 해당지점의 대표적인 측선을 선정해 연속적인 지표 유사량 자료 생산이 가능하다면 향후 자동 유사량 채수장치 설치를 통해 안정된 유사량 자료 제공이 가능할 것으로 기대된다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.4
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• pp.633-643
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• 2013

This study investigated the efficiency of university foodservice operations by analyzing the effect of consumer's perception towards university foodservice quality. University students in the Jeonnam area were surveyed and 571 out of 700 surveys were chosen (response rate: 97.0%). SPSS (ver. 20.0) was used to conduct descriptive analysis, factor analysis, reliability analysis, t-test, and multiple regression analysis. The results show that 21.9% of university students have never used the university foodservice, while 48.7% of university students have eaten there 1~2 times per week. The most common reasons reported for avoiding the university foodservice were a limited menu selection (51.5%) and an untasty food (45.8%). The perception of overall service quality at the university foodservice scored relatively low (3.01 points), compared with its importance (3.89 points). The food taste, menu variety, and quality of food ingredients are factors that require improvement for operational strategies by the importance-performance analysis (IPA). The food factors (taste, variety, and quality) among university foodservice qualities had a significantly positive effect on consumers' overall satisfaction (p<0.001), perceived value (p<0.01), intent to recommend (p<0.001), and intent to revisit (p<0.01). These result indicate that the university foodservice management should focus on developing food factors and strive to meet the needs of university students through continuous customer surveys.

• Journal of dental hygiene science
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• v.15 no.4
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• pp.407-412
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• 2015

This study investigated flexural properties of indirect Gum-shade composite resins for esthetic improvement. The material utilized in this study was Crea.lign, Twiny flow and Twiny paste (TP). Ten specimens were fabricated with a dimension of $25{\times}2{\times}2mm$ according to the ISO 4049. After fabrications, specimens were stored in the distilled water for 24 hours at the temperature of $37^{\circ}C$. Three-point bending test was performed in universal testing machine (Instron 3344; Instron, USA) at a crosshead speed of 1 mm/min until the failure occurred. TP exhibited a higher flexural strength (FS) and flexural modulus (FM) compared to the flowable materials. There were significant differences among the three materials in FS and FM. However, there was no significant difference in work of fracture (WOF) in all tested materials (p>0.05). In Weibull analysis, TP showed the greatest Weibull modulus which means a higher reliability of the materials. Also, Gum-shade composite resins revealed a strong correlation in all flexural properties. There was a positive correlation in FS-FM ($r^2=0.99$) and a negative correlation between FS-WOF and FM-WOF ($r^2>0.97$). Therefore, this confirmed that flexural property was important for mechanical behavior evaluation and useful information. To addition, this improved among mechanical properties correlation of materials as important factor.

• Economic and Environmental Geology
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• v.43 no.4
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• pp.381-391
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• 2010

Probabilistic prediction methods of landslides which have been developed in recent can be reliable with premise of detailed survey and analysis based on deep and special knowledge. However, landslide susceptibility should also be analyzed with some reliable and simple methods by various people such as government officials and engineering geologists who do not have deep statistical knowledge at the moment of hazards. Therefore, this study suggests an evaluation chart of landslide susceptibility with high reliability drawn by accurate statistical approaches, which the chart can be understood easily and utilized for both specialists and non-specialists. The evaluation chart was developed by a quantification method based on canonical correlation analysis using the data of geology, topography, and soil property of landslides in Korea. This study analyzed field data and laboratory test results and determined influential factors and rating values of each factor. The quantification analysis result shows that slope angle has the highest significance among the factors and elevation, permeability coefficient, porosity, lithology, and dry density are important in descending order. Based on the score assigned to each evaluation factor, an evaluation chart of landslide susceptibility was developed with rating values in each class of a factor. It is possible for an analyst to identify susceptibility degree of a landslide by checking each property of an evaluation factor and calculating sum of the rating values. This result can also be used to draw landslide susceptibility maps based on GIS techniques.