• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.214-216
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• 2022

Distributed acoustic sensing (DAS), an increasingly growing acquisition technique in the oil and gas exploration and seismology fields, has been used to record seismic signals using optical cables as receivers. With the development of imaging methods for DAS data, full waveform inversion (FWI) is been applied to DAS data to obtain high-resolution property models such as P- and S-velocity. However, because the DAS systems measure strain from the phase distortion between two points along optical cables, DAS data must be transformed from strain to particle velocity for FWI algorithms. In this study, a plane-wave FWI algorithm based on the relationship between strain and horizontal particle velocity in the plane-wave assumption is proposed to apply FWI to DAS data. Under the plane-wave assumption, strain equals the horizontal particle velocity, which is scaled by the velocity at the receiver position. This relationship was confirmed using a numerical experiment. Furthermore, 4-layer and modified Marmousi-2 velocity models were used to verify the applicability of the proposed FWI algorithm in various survey environments. The proposed FWI was implemented in land and marine survey environments and provided high-resolution P- and S-velocity models.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.17-17
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• 2020

나고야의정서 발효에 따라 이에 대한 대응이 전세계적인 이슈가 되면서 각 국가들은 자국내 유용자원식물의 주권확립을 위한 움직임을 보이고 있으며 이들의 기원종 확립과 진위 감별을 위한 연구가 활발히 진행되고 있다. 이에 본 연구에서는 전라도 지역 내 생약 자원식물의 분포현황 및 실체를 파악하고자 하였다. 조사시기는 2018년 3월부터 2020년 5월까지 계절별로 해안가, 산지, 농경지 등 다양한 서식환경에 대하여 조사를 실시하였다. 전라도 내에서 확인되 생약자원식물은 106과 243속 405종 31변종 4품종 총 440분류군이 분포하는 것으로 조사되었으며, 한반도 관속식물 4,499분류군(Korea National Arboretum, 2018; Http://www.nature.go.kr/kpni/)의 9.8%에 해당된다. 본 조사지역 내에서 확인된 생약자원 식물 중, 특산식물로는 매미꽃, 할미밀망, 노랑붓꽃 등 11분류군이 확인되었으며, 희귀식물로는 CR등급의 노랑붓꽃을 포함하여, VU등급의 약난초, 흑삼릉 등 25분류군이 확인되었다. 특히 본 조사를 통해 수집된 생약자원식물의 표본, 화상자료, 종자, 생약부위 등은 추후 우리나라의 생약자원에 대한 관리DB를 구축하는데 기초자료로서 유용하게 활용될 것이다.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.265-277
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• 2018

This study examined if support from separated children as a factor of depression was distinguishable between male and female elderly individuals living in one-person households. This study analyzed data of 2,354 elderly individuals living in one-person households(407 males and 1,947 females) who were 65 years of age or older using data from the 2014 National Elderly Survey on Living Conditions and Need for Welfare. Employing logistic regression, IADL, self-rated health, and, friends were important for male elderly individuals living in one-person households, while self-rated health, friends, employment, chronic diseases, and emotional support from separated children were noticeable for female elderly individuals living in one-person households. To better understand the mental health needs by gender of elderly individuals living in one-person households, their differences in emotional support from separated children, should be considered.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.

• Korean Security Journal
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• no.12
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• pp.73-87
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• 2006

This research is for examining the effect on personal health and differences between men and women by health care program in security guards and students, who are specializing security in college, appealing consciousness state physically and mentally. The following results are attained by conducting a questionnaire survey(T.H.I) of 358 men engaged in security guard services and 220 students specializing security (The data analysis is operated by Analysis of Variance(ANOVA) to make a comparative study of health care program, sex distinction and security careers. The implication of the study are as follows. 1. Generally students show less average rate than security guards in appealing the consciousness state especially in Mental Irritability, Irregular Life, Depression, Respiratory, Eyes and Skin, Aggressiveness. 2. In comparing men with women of consciousness state after the step of health care program, men show lower average rate than women except Life Scale and Respiratory. 3. In differences of consciousness state by security career, the more respondents have careers, the less the average rate of Mental Irritability and Depresaion is. But in Life Scale, the result is reverse.

• Journal of Conservation Science
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• v.31 no.4
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• pp.331-339
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• 2015

This study were conducted the particle-size analysis on 57 blue pigments to understand the step distribution characteristics of blue pigments made out of Azurite by using Malvern's Mastersizer 2000. As the result, most of the conventional blue pigments in Korea, Japan, and Chinese showed good granularity step separation except for few, and the smaller the particle, the more the Span value increased and the wider the granularity distribution range. On the basis of Friedman and Sanders's Grain size, most of the pigments were sand size to silt size. 72.2% of B-100 was clay size and 2.5% of A-14 was gravel size. Even the same components can differ by the grain size directly affecting the important property such as color formation, oil absorption, specific gravity, usability, etc. so the information about the granularity distribution would be used for basic data to deal with natural pigments.

• Korean Journal of Childcare and Education
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• v.3 no.1
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• pp.39-56
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• 2007

The purpose of this study was to examine difference of Young Children's Self-Regulation by Mother's Verbal Control. To do so, The subject was composed of 146 3-, 4-, 5-year-old recruited from 5 child care centers in I city area And it utilized questionnaires to ask 146 mothers concerning Mother's Verbal Control and Young Children's Self-Regulation. The findings of this study were : First, the age and the gender of young children didn't affect the mother's verbal control. Second, the age of young children positively affected self decision and total self regulation total that is the subordinate area of self regulation. Third, use degree of mother's order and humanity verbal control divided high and low group up to the standard average value. As a result a low rank distribution of mother's verbal control positively affected. Forth, a result a low rank distribution of mother's verbal control positively affected self decision and behavior restrain and emotion and total self regulation total that is the subordinate area of self regulation.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.903-913
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• 2013

Social network services generate a considerable amount of social data every day on personal feelings or thoughts. This social data provides changing patterns of information production and consumption but are also a tool that reflects social phenomenon. We analyze negative emotional words from daily blogs to detect the change in blooger sentiment using multivariate control charts. We used the all the blogs produced between 1 January 2008 and 31 December 2009. Hotelling's T-square control chart control chart is commonly used to monitor multivariate quality characteristics; however, it assumes that quality characteristics follow multivariate normal distribution. The performance of a multivariate control chart is affected by this assumption; consequently, we introduce the support vector data description and its extension (K-control chart) suggested by Sun and Tsung (2003) and they are applied to detect the chage in blogger sentiment.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.152-159
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• 1997

최근 들어 인쇄체 문자 인식 기술의 발전에 힘입어 필기체 한글 인식에 관한 연구가 활발히 진행되고 있다. 인쇄체 문자와는 달리 자연스럽게 필기된 한글 글씨는 동일한 문자라 하더라도 같은 모양을 가지고 있다고 단정하는 것이 불가능할 정도로 필기자의 필기 유형에 따른 다양한 변형을 내포하고 있다. 따라서 효과적인 한글 글씨 인식기를 개발하기 위해서는 다양한 변형을 포함하는 대용량의 한글 글씨 영상 데이터베이스가 필수적이다. 본 논문에서는 시스템공학연구소 주관 국어 정보 베이스 개발 사업의 일환으로 고려대학교에서 구축 중인 오프라인 한글 글씨 영상 데이터베이스, KU-1에 대해 간략히 소개하고자 한다. 본 데이터베이스는 KS C 완성형 한글 사용 빈도순 상위 1,500자에 대하여 다양한 계층, 직업, 연령, 지역 분포를 고려한 1,000명 이상의 필기자가 정서체와 본인의 평소 자유 필체로 필기한 1,000벌의 명도 한글 글씨 영상으로 구성되어 있다.

• Journal of Hospice and Palliative Care
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• v.7 no.2
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• pp.153-168
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• 2004

Purpose: The purpose of tile study was to identify types of care needs of hospice patients and those from the family caregivers' perspective and to compare these two groups in reporting patients' care needs through Q-methodology. Methods: Twenty three Q-statements concerning care needs were selected through in-depth interviews of hospice patients. Data were collected from 20 hospice patients as well as 20 family caregivers respectively by sorting 23 Q-statements into 9 points standard. Data analysis was performed by using PC QUANL program. Results: Principal component analysis identified four types of care needs of the hospice patients. Overall, the accuracy of family caregiver reports was 48% in all types of care needs. Type 1 was named 'physical care needs type' for those whose greatest need was physical care to be free of pain and comfortable. The accuracy in Type 1 was 62.5%. Type 2 was named 'emotional care needs type' for those who would like to share love and intimacy with their family members. The accuracy in Type 2 was 20%. Type 3 was named 'spiritual care needs type' for those who would like to receive forgiveness from their God and prayers and visitation of clergy. The accuracy in Type 3 was 60%. Type 4 was named 'social care needs type' for those who would like to complete their ongoing work and to give service to others. The accuracy in Type 4 was 50%. Conclusion: There was a great difference between hospice patients and the family caregivers in reporting patients' care needs. Thus, hospice nurses need to educate family caregivers to more accurately assess patients' care needs.