• 전자공학회논문지 IE
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• v.46 no.3
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• pp.55-61
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• 2009

This paper describes an assistant system for elders who live alone. The developed system is composed of a wearable RFID system, a gateway system, and server system. The wearable RFID system is installed in glove. The wearable RFID system can be considered as a wireless sensor network which has a sink node and sensor node with a RFID reader. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, sugar and salt bottles, and ok. The sensor node transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system via a gateway system. The gateway provides users with audio-visual information of objects. The server system is composed of a database server and a web server. The data from each wearable RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. The processed data can be provided for someone who wants to know about user's daily living patterns in house such as family, caregivers, and medical crew.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.215-220
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• 2015

This study attempts to find how the government policies regarding population aging may affect the life patterns of the baby boomers and what factors play a significant role in providing life wellness. This study uses the data provided by Korea Welfare Panel Study published between the years 2006 and 2011. First, according to the analysis of the data from Korea Welfare Panel Study in the year 2006, the factors affecting the life wellness are family relations, health and social relations. However, between the years 2007 and 2009, the major factor is not the present income providing security or life satisfaction. Second, the next significant factor in improving the wellness of life is family relations after health or occupation. Therefore, the government should provide them with re-employment programs prior to their retirement through which baby boomers can find employment similar or different to their present occupations. For improving the wellness of life, the most significant factor is family relations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.1
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• pp.72-81
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• 2014

Recently, because of irregular power demand, we have suffered from an electric power shortage. The necessity of the adoption of smart grid which makes effective supply of power by using the two-way communication across the grid between the customers and electric energy providers is growing more and more. If smart grid set up in our country, the third-parties which provide services to customer using the information acquired from smart grid, might be revved up. In this paper, we suggest a methodology how classify the types of family by analysing an power consumption pattern using data mining technique. To make a classifier for categorizing the household types, we need power consumption data and their family type. However, it is hard to get both of them. Therefore we develop the simulator that generates power consumption patterns of the household and classify the types of family. Also, we present a potential for application services such as customized services for a specific family or goods marketing.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.548-557
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• 2019

With the increase of single households and more women entering society, changes to lifestyle, a demand for convenience, and the recent trend for homemade meals, the market for HMR(Home Meal Replacements) is rapidly growing. This study reviewed the repurchase intentions of consumers for RTP(Ready-to-Prepare) HMR products, namely meal kits, and the moderating effect. The study found that i) ease of use increases with higher self-efficacy; ii) ease of use decreases with higher personal innovativeness, but usefulness and repurchase intentions increased; iii) repurchase intentions increase with higher social influence; iv) trust decreases with higher convenience, but repurchase intentions increased; v) trust and repurchase intentions increase with higher economic efficiency; and vi) price sensitivity has a moderating effect between trust and repurchase intentions. The outcomes of this study will not only provide a theoretical basis for a more detailed study of HMR, but is anticipated to be used as fundamental data for suggesting a direction for marketing strategies for product development and sales.

• Korean Journal of Child Care and Education Policy
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• v.12 no.3
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• pp.31-53
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• 2018

The aim of this study was to examine trajectories in and predictors of marital satisfaction among parents with one year old baby. Latent growth modeling was used with a sample of 984 households. Data from Panel Study on Korean Children conducted by Korea Institute of Child Care and Education were used. The study results revealed that for both fathers and mothers, marital satisfaction decreased over time after the birth of the first child. However, fathers' marital satisfaction decreased more steeply than mothers'. Furthermore, mothers' employment was associated with the changes of fathers' marital satisfaction. Father involvement and marital conflict predicted changes of mothers' marital satisfaction. These findings show that factors such as father involvement and marital conflict are more highly associated with changes in mothers' marital satisfaction than fathers'. Also, the study suggests that parent education should be systematically organized to promote father involvement and to resolve marital conflict.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.47-54
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• 2021

This study shows that consumers' attitudes and behaviors are rapidly changing due to the COVID-19 outbreak in a situation where consumption patterns are already changing due to demographic changes such as an increase in the number of single-person households and dual-income couples. To this end, the results of an online survey conducted on 500 panels of Nielsen Korea were used in this study. In particular, consumers were divided into two generation groups (Generation Z vs. Millennial) and analyzed and presented changes in consumption activities and food purchasing behaviors changed by COVID-19. As a result, the existing online distribution trend has been strengthened, and its impact has been amplified by COVID-19. These changes also resulted in different consumption behaviors depending on the degree of concern for COVID-19 by generation. Based on the results of this study, it turns consumers' behavioral changes into new opportunities, focusing on the accelerating a new 'contactless' lifestyle, which will provide managerial implications for the food industry's response strategies in relation to the theoretical significance and in practice.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.941-948
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• 2021

This study investigated the differences between active and inactive TV watching groups, in terms of residential characteristics, of class-oriented drama viewing rate. We compared Flow and Social Comparison Theories to explain the relationship between class-oriented contents in the drama and viewing rate. We collected 110,000 TV viewers data of 4 class-oriented and the other 4 dramas, aired between Feb. 2016 and March 2019, through D-Live local cable service provider. Controlling gender ratio and income level which may affect viewing rate, we found that class-oriented content significantly and positively affects viewing rate in active watching group while the same content significantly and negatively affects viewing rate in inactive watching group. These results imply that Flow and Social Comparison Theories may apply in opposite directions in different watching groups.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.1-9
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• 2022

In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.66-71
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• 2021

본 연구는 한국어 자질 기반 감성분석(Feature-based Sentiment Analysis: FbSA)을 위한 대규모의 학습데이터 구축에 있어 반자동 언어데이터 증강 기법(SSP: Semi-automatic Symbolic Propagation)에 입각한 자질-감성 주석 데이터셋 FeSAD(Feature-Sentiment-Annotated Dataset)의 개발 과정과 성능 평가를 소개하는 것을 목표로 한다. FeSAD는 언어자원을 활용한 SSP 1단계 주석 이후, 작업자의 주석이 2단계에서 이루어지는 2-STEP 주석 과정을 통해 구축된다. SSP 주석을 위한 언어자원에는 부분 문법 그래프(Local Grammar Graph: LGG) 스키마와 한국어 기계가독형 전자사전 DECO(Dictionnaire Electronique du COréen)가 활용되며, 본 연구에서는 7개의 도메인(코스메틱, IT제품, 패션/의류, 푸드/배달음식, 가구/인테리어, 핀테크앱, KPOP)에 대해, 오피니언 트리플이 주석된 FeSAD 데이터셋을 구축하는 프로세싱을 소개하였다. 코스메틱(COS)과 푸드/배달음식(FOO) 두 도메인에 대해, 언어자원을 활용한 1단계 SSP 주석 성능을 평가한 결과, 각각 F1-score 0.93과 0.90의 성능을 보였으며, 이를 통해 FbSA용 학습데이터 주석을 위한 작업자의 작업이 기존 작업의 10% 이하의 비중으로 감소함으로써, 학습데이터 구축을 위한 프로세싱의 소요시간과 품질이 획기적으로 개선될 수 있음을 확인하였다.

• Korea journal of population studies
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• v.33 no.1
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• pp.133-160
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• 2010

This study aims to analyze marital satisfaction over the family life course and to find its determinants in Korea and Japan. The data for this study came from nationwide representative sample surveys on family in these two countries including 5,308 Korean and 4,920 Japanese men and women living with their spouses. In order to see the cultural difference and similarity in marital relations, the effects of education, income, employment, marriage gradients (normative patterns between the spouses), family stress, and quality of conjugal interactions on Korean and Japanese couples' marital satisfaction were examined. It was found that the marital satisfaction showed a U-shape pattern for both Korean and Japanese couples. In both countries husbands tend to have higher marital satisfaction than wives over the entire life course. The most important determinants of Korean and Japanese couples' marital satisfaction are good qualities of conjugal interactions including deep trust and concerns for spouse and sex life satisfaction. For Korean couples good conjugal interactions is better predictor of marital satisfaction than sex life, while for Japanese couples sex life is more important determinant of marital satisfaction.