• Journal of the Korea Convergence Society
• /
• v.11 no.12
• /
• pp.419-427
• /
• 2020

This study is designed to explore the effects of symptoms severity and stress on depression in patients with overactive bladder syndrome in the middle age. The subjects of the study were 167 middle-aged patients aged 40 to 60 who were diagnosed with overactive bladder syndrome in outpatient clinics and hospitals located in G Metropolitan City. The data analysis was using the SPSS 23.0 program and frequency analysis, Pearson's correction, t-test, and multiple regulation. The study found that the factors that affect depression in patients with the disease in middle age are symptom severity, age, living with a spouse. Therefore, in order to reduce the subject's depression, it is necessary to develop a program that can educate active treatment induction, lifestyle habit correction, and behavior therapy, and perform customized nursing interventions according to age group and spouse presence.

• Annual Conference of KIPS
• /
• 2012.11a
• /
• pp.655-657
• /
• 2012

본 논문에서는 심도(Depth) 카메라로부터 실시간 획득한 RGBD 데이터에서 심도 정보 기반의 AAM(Active Appearance Models)과 나이 인식 알고리즘[1]을 통해 4 개의 AG(Age Group)으로 분류하는 실시간 얼굴 나이 인식 시스템(Real-time Facial Age Recognition System)을 설계한다. 기존의 AAM 을 이용한 실시간 얼굴 특징 추출은 평균 약 4.17%의 프레임 손실율을 보였으나, 심도 정보를 활용한 AAM 은 평균 약 0.43%의 프레임 손실율만을 보였다[5]. 본 논문에서는 심도 정보를 활용한 AAM과 병렬 처리 방법인 CUDA 를 결합하여 나이 특징을 추출하고, 실시간 시스템에 적용 가능하도록 나이 인식 알고리즘을 개선하여 실시간 나이 인식 시스템을 설계한다. 설계된 시스템은 1)머리 위치 추적, 2)얼굴 인식 및 특징점 추출, 3)나이 특징 추출, 4) 나이 특징 분석, 5) 나이 분류의 5 가지 단계를 통해 최종적으로 4 개의 AG 로 분류한다.

• Design Convergence Study
• /
• v.15 no.5
• /
• pp.199-211
• /
• 2016

The study examined how age-friendly their living environments the aged perceived and it's significant difference depending on their characteristics. The subject were 96 old persons who aged more than 60 years and lived in Nagasaki city, Japan. They asked how far each neighborhood facility related to the aged was located from their houses, and the age-friendliness of walk way, traffic, multi-family houses for the aged, and interior space of their living houses. Data were collected by using one to one interview. Results were as follows: 1) Most neighborhood facilities related to the aged were located within a walking distance or 10 min. distance by bus from their houses. 2) Among 5 areas of living environments, while traffic, house interior, and pedestrians road were relatively age-friendly, the amount of multi-unit dwellings for the elderly and the usability of wheelchair users in house interior were not age-friendly. 3) Age and education level of the aged influenced on the age-friendliness of their living environments.

• Journal of Information Technology Services
• /
• v.10 no.4
• /
• pp.33-46
• /
• 2011

This research focus on the economic activity as consumer and producer traits of future customers in the convergence age. We assess level of convergence for digital devices and services respectively by questionnaire survey and interview for 14 professions. And then, for evaluating convergence level and usage of digital services of each respondents, we conducted the questionnaire survey for 343 samples. Findings of our research hold that the group who showed higher level of convergence tends to use the socialized digital services more. Convergence generation were heavy users in appstore on smart-phone and wireless game and more participating. In digital service area, facebook/cyworld, twitter, UCC, portal, internet community in digital service. Convergence generation are global network communication, buying decision making activity, actively opinion expression, prosumer attitude, dependency on digital device, experience based purchase behavior, enthusiastic information sharing.

• Journal of Digital Convergence
• /
• v.9 no.1
• /
• pp.61-70
• /
• 2011

Ultimately, this research will focus on the activity traits of future customers in the convergence age. To accomplish that, firstly, researcher develop measures for assessing the convergence level of digital devices and digital services. Next, this will investigate the behavioral traits of people who use specific devices or services on the internet or mobile networks. This study proposed five convergence measures each for devices and services. For digital devices, measures such as converged functions, accessibility to network, portability, immediate communicability, and expandibility of functions were utilized. For digital measures such as scope of users, newness, social network level, ease-of use on mobile networks, and expandibility of information were used. We believe that the research results can provide insights for those wishing to explore the convergence level of devices and services and those developing high-level converged devices and digital services.

• Convergence Security Journal
• /
• v.17 no.2
• /
• pp.33-39
• /
• 2017

In the age of full scale IoT, concept of "security convergence" has been popularized widely. However, it is not clear whether current "security convergence" concept reflects IoT characteristics and traits. In this thesis, a new concept, complementing "security convergence" concept researches up to date, has been suggested considering IoT characteristics. Required governance methodology and key technical factors are suggested for re-establishment of "security convergence" concept and for enterprise security strategy development.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.2
• /
• pp.69-75
• /
• 2014

Existing People Counting System using a single overhead mounted camera has limitation in object recognition and counting in various environments. Those limitations are attributable to overlapping, occlusion and external factors, such as over-sized belongings and dramatic light change. Thus, this paper proposes the new concept of People Counting System by Facial Age Group using two depth cameras, at overhead and frontal viewpoints, in order to improve object recognition accuracy and robust people counting to external factors. The proposed system is counting the pedestrians by five process such as overhead image processing, frontal image processing, identical object recognition, facial age group classification and in-coming/out-going counting. The proposed system developed by C++, OpenCV and Kinect SDK, and it target group of 40 people(10 people by each age group) was setup for People Counting and Facial Age Group classification performance evaluation. The experimental results indicated approximately 98% accuracy in People Counting and 74.23% accuracy in the Facial Age Group classification.

• Journal of the Korea Convergence Society
• /
• v.12 no.7
• /
• pp.113-123
• /
• 2021

This study aims to present a plan to develop the funeral culture industry based on the results of a survey on the contents of funeral culture awareness, funeral culture industry development, and funeral culture education according to age groups. The survey in this study was researched by Gallup Korea, and the survey method was an online research using a structured questionnaire. The survey was conducted twice, from February 5, 2021 to February 8, 2021, and from February 18, 2021 to February 19, 2021. The effective subjects are 316, and the sampling method is allocated by sex and age. As a result of the study, cremation was preferred by all age groups, and the places where cremated remains were placed were high in the natural burials and ossuary hall. Although there are some differences by age groups, it was surveyed that generally, the elderly than the younger were less reluctant to sign up for condolence products, funerals in life, farewell trips, purchase farewell travel products, funeral insurance, and counsel with death-related experts. The results of this study are expected to contribute to interdisciplinary convergence research on the recognition and development of the funeral culture industry.

• International journal of advanced smart convergence
• /
• v.9 no.2
• /
• pp.203-211
• /
• 2020

This study proposes a method for estimating gender and age that is robust to various external environment changes by applying deep learning-based learning. To improve the accuracy of the proposed algorithm, an improved CNN network structure and learning method are described, and the performance of the algorithm is also evaluated. In this study, in order to improve the learning method based on CNN composed of 6 layers of hidden layers, a network using GoogLeNet's inception module was constructed. As a result of the experiment, the age estimation accuracy of 5,328 images for the performance test of the age estimation method is about 85%, and the gender estimation accuracy is about 98%. It is expected that real-time age recognition will be possible beyond feature extraction of face images if studies on the construction of a larger data set, pre-processing methods, and various network structures and activation functions have been made to classify the age classes that are further subdivided according to age.

• Journal of the Korea Convergence Society
• /
• v.11 no.1
• /
• pp.77-82
• /
• 2020

In order to analyze the positive rate of hepatitis B surface antibody by age before and after hepatitis B vaccination, 13,855 serum specimens who were referred for the hepatitis B surface antibody test at the General Hospital of Jeju Hospital were examined by CMIA method. The positive rate of HBs Ab was 5,176 (37.36%). The positive rate according to gender was 40.13% for female and 34.77% for male. The age group with the highest HBs Ab average was in their 40's (399.86 mIU/mL), while the lowest age group was in the 90's (211.50 mIU/mL). It is remarkable that the age group with the highest HBs Ab positive rate is in the 30's, and that teenagers (age group of 10-20 years) had the lowest positive rate. Especially 15, 18, 19 years old was statistically significant. Consideration should be given to determining the titer of vaccination and to clarify the timing of vaccination.