• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.614-615
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• 2018

본 연구는 심층학습 기법을 활용하여 양극 데이터에 대해 학습된 모델로부터 예측된 결과를 바탕으로 언어 장애 여부를 판단하고, 이를 바탕으로 효율적인 언어 치료를 수행할 수 있는 방법론을 제시한다. 발화자의 개별 발화에 대해 데이터화를 하여 합성곱 신경망 모델(CNN)을 학습한다. 이를 이용하여 발화자의 연령 집단을 예측하고 결과를 분석하여 발화자의 언어 연령 및 장애 여부를 판단을 할 수 있다.

• Journal of IKEEE
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• v.26 no.3
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• pp.494-499
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• 2022

It is reported that genome-wide RNA-seq profiles has potential as biomarkers of aging. A number of researches achieved promising prediction performance based on gene expression profiles. We develop an age prediction method based on the transcriptome of human dermal fibroblasts by selecting a proper age interval. The proposed method executes multiple rules in a sequential manner and a rule utilizes a classifier and a regression model to determine whether a given test sample belongs to the target age interval of the rule. If a given test sample satisfies the selection condition of a rule, age is predicted from the associated target age interval. Our method predicts age to a mean absolute error of 5.7 years. Our method outperforms prior best performance of mean absolute error of 7.7 years achieved by an ensemble based prediction method. We observe that it is possible to predict age based on genome-wide RNA-seq profiles but prediction performance is not stable but varying with age.

• Science of Emotion and Sensibility
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• v.26 no.1
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• pp.33-42
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• 2023

Previous emotion studies employing facial expressions have focused on the differences between age groups for each of the emotion categories. Instead, Kim (2021) has compared representations of facial expressions in the lower-dimensional emotion space. However, he reported descriptive comparisons without statistical significance testing. This research used representational similarity analysis (Kriegeskorte et al., 2008) to directly compare empirical datasets from young, middle-aged, and old groups and conceptual models. In addition, individual differences multidimensional scaling (Carroll & Chang, 1970) was conducted to explore individual weights on the emotional dimensions for each age group. The results revealed that the old group was the least similar to the other age groups in the empirical datasets and the valence model. In addition, the arousal dimension was the least weighted for the old group compared to the other groups. This study directly tested the differences between the three age groups in terms of empirical datasets, conceptual models, and weights on the emotion dimensions.

• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.388-402
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• 2017

This paper presents an enhancement of the two-step floating catchment area (2SFCA) method for measuring spatial accessibility between three age groups, addressing the problem of uniform access within the catchment by applying multiple impedance function to account for distance decay and by applying weights to different age groups to account for medical service preference. The enhancement is provided to be another special care of the gravity model. When applying this modified three-step floating catchment area to measure the spatial access to emergency medical services in a study area, Chungnam province in South Korea, we find that it reveals the variation of spatial accessibility patterns between cities and rural areas and delineates more spatially explicit medical service shortage areas in southern Chungnam areas, especially remoted local rural areas. Finally, this method may be used to help the health and medical service divisions and the state departments improve designation of medical shortage areas. From the discussions, it is easy to implement in planning spatial policies of medical service and straightforward to be used as a basic, but core element for health and medical strategies in the province.

• Archives of design research
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• v.15 no.4
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• pp.243-252
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• 2002

The enlarge the range of internet users require user centered design method what understanding of cognitive faculties about users by different age groups. This study aims at analyzing cognitive faculties about visual information on web interface by different age groups, presenting visual perception cognitive process model as an evaluation model and proposing an effective web interface design guideline, On the basis of analyzing cognitive faculties verified what each detail property of visual perception cognitive process model as form, color, space, movement and physiological, physical cognitive faculties had have individual cognitive faculties. As the result visual perception cognitive process model suggested in this study can be used as an evaluation model of web interface and users' cognitive faculties analyzed in visual perception measurement by different age groups can be applied as a web interface design guideline. In addition, this study has a meaning in that it makes a chance to extend a web designer's roles and establish a direction of future research by usability of different age groups.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.53.1-53.1
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• 2010

$Y^2$(Yonsei-Yale) Isochrones은 Yale의 항성 진화 계산을 이용한 정밀한 등연령곡선으로 구상성단의 연구에 널리 사용되고 있다. 이번 연구에서는 $Y^2$-Isochrones를 Kurucz 모형을 이용한 색변환을 통해서 SDSS로 널리 알려진 ugriz 필터 체계에 대해 적용하고 실제 관측 결과와 비교함으로써 타당성을 검증하고자 한다. 우선 ugriz 필터의 등연령곡선을 제공하는 BaSTI와 DSEP, Padova 모델간의 비교를 통해 $Y^2$-Isochorones이 MSTO에서 g-r값이 다른 모델에 비해 0.05정도 큼을 확인하였다. 또한 CFHT 3.6m 망원경의 가시광 카메라 MegaCam으로부터 얻은 중원소 함량이 낮은 다섯 개의 구상성단 M15, M30, M53, NGC 5053, NGC 5466에 대한 g, r, i 필터의 색등급도에 각각의 등연령곡선을 적용하여 모델에 따른 구상성단의 특성을 분석하였다. $Y^2$-isochrones를 이용한 (g-r, r) CMD의 분석 결과, BaSTI와 DSEP 모델에 비해 0.1~0.3만큼 거리지수가 크고, 성단의 나이는 1~3Gyr 정도 어리게 측정됨을 확인할 수 있었다. 더불어 SDSS 관측으로부터 얻어진 구상성단에 대한 색등급도와 비교 분석과정을 수행하여, 다른 망원경에서의 사용가능 여부를 확인하였다. 이 연구를 통하여 각 모델에 따른 등연령곡선의 차이를 확인하고, 현재 여러 망원경에서 사용되고, 앞으로 여러 대형망원경에서 사용될 ugriz 필터 체계에 $Y^2$-Isochrones를 적용할 수 있는 타당성을 제시하고자 한다.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.289-299
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• 2020

The wearables market has fast grown, demanding a more consumer-centric academic attention. The current research explores the moderations of consumer individual characteristics (i.e., age, need for cognition, involvement) in the dynamics of perceived psychological benefits of wearables adoption (i.e., perceived usefulness, perceived ease of use) towards perceived product quality. the results indicate a strong positive influence of both the perceived usefulness and ease of use on perceived quality. however, the predicted moderations of age, need for congitiion, and involvement were partially supported.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.51 no.4
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• pp.535-544
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• 2015

Yield per recruit model is the most popular method for fisheries stock assessment. However, stock assessment using yield per recruit model can lead to recruitment overfishing as this model only considers the maximum yield per recruit without spawning biomass for reproduction. For this reason, spawning biomass per recruit model which reveals variations of spawning stock biomass per fishing mortality (F) and age at first capture ($t_c$) is considered as more proper method for stock assessment. There are mainly two methods for spawning biomass per recruit model known as age specific selectivity method and knife-edged selectivity method. In the knife-edged selectivity method, the spawning biomass per recruit has been often calculated using biomass per recruit value by multiplying the maturity ratio of the recruited age. But the maturity ratio in the previous method was not considered properly in previous studies. Therefore, a new method of the knife-edged selectivity model was suggested in this study using a weighted average of the maturity ratio for ages from the first capture to the lifespan. The optimum fishing mortality in terms of $F_{35%}$ which was obtained from the new method was compared to the old method for small yellow croaker stock in Korea. The value of $F_{35%}$ using the new knife-edged selectivity model was 0.302/year and the value using the old model was 0.349/year. However, the value of $F_{35%}$ using the age specific selectivity model was estimated as 0.320/year which was closer to the value from the new knife-edged selectivity model.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.61-75
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• 2023

This study aims to evaluate the usability of a banking app that is frequently used by the elderly. To this end, the usability PACMAD(People At the Center of Mobile Application Development) model that can be used in mobile was explained and the usability evaluation was empirically verified for the elderly over 60 years of age. For this study, descriptive statistics and variance analysis were conducted using SPSS 25.0 for 165 elderly people who had experience using banking apps. Looking at the analysis results of this study, efficiency, satisfaction, and effectiveness showed relatively high scores, and learnability, memorability, error, and cognitive load showed relatively low scores. In addition, in the verification of differences by age, it was confirmed that there were differences in all variables by age. These results suggest that the elderly's usability evaluation of banking apps and differences by age could be confirmed, but there is also a limitation that comparison with the general public is difficult because the age is limited to the elderly.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.187-190
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• 2000

본 논문은 상용화를 목적으로 하는 CD-ROM Title에 음성인식 시스템을 결합시킴으로써 컨텐츠의 검색과 제어를 쉽고 편리하게 하는데 목적이 있다 콘덴서 마이크로 구축한 DB로실험을 하였고, 또한 on-line 인터페이스와 병행하여 작업을 하였다. 본 논문은 상용화를 목적으로 하기 때문에 연령에 상관없이 인식이 가능해야 하므로 10대에서 50대에 걸쳐 데이터를 수집하였고, 인식 시에 전체 연령별로 인식률의 편차가 심하지 않게 하기 위해서 연령별로 데이터를 섞어서 생성하였다. 모델은 지속시간을 고려한 DMS 모델, 인식은 OSDP를 사용하였다.