• Review of KIISC
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• v.33 no.4
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• pp.117-124
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• 2023

최근 인공지능, 디지털 트윈, 메타버스 기반의 신규 ICT 서비스가 도입되면서 이러한 서비스에서 발생할 수 있는 프라이버시 위험의 적절한 처리는 매우 중요하게 대두되었다. 이의 대표적인 기술적 대책이 프라이버시 강화 기술의 적용이다. 이와 관련하여 개인정보보호 국제표준은 국가나 조직의 관행과 기술을 국제 표준으로 개발하여 상호 연동이 가능한 서비스를 제공하는 역할을 하며, 이로 인해 제품이나 서비스의 경쟁력을 강화하는데 활용될 수 있다. 개인정보보호 국제 표준화를 주도적으로 추진하고 있는 대표적인 국제 표준화 그룹으로는 국제표준화위원회/전기위원회 합동위원회 1/서브위원회 27/작업그룹 5 (ISO/IEC JTC 1/SC 27/WG 5)가 있으며, 독일 쾨테대학의 Kai Rannenberg 교수가 이 그룹의 의장을 맡고 있다. 2022년 ISO/IEC JTC 1/SC 27/WG 5 전자회의 이후 우리나라 주도의 국제표준은 2건 채택되었다. 차기 회의는 2023년 10월 서울에서 원격 참여가 허용된 대면회의로 개최될 예정이다. 본 고에서는 이 그룹에서 2022년 7월 이전 채택된 개인정보보호 관련 국제표준과 현재 개발 중인 주요 국제표준 동향을 살펴보고자 한다. 또한 지난 4월 SC27 WG5 회의에서 논의된 개인정보보호 관련 주요 표준화 이슈와 대응 방안을 제시한다.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.420-427
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• 2016

The purpose of this study was to identify association between total sleep time and suicidal ideation in adults with mental problems and without. The data were derived from the fifth Korea national health and nutrition examination survey and analyzed using the IBM SPSS Statistics version 21.0 software package considering complex samples analysis. The subjects were 6,199 adults. The rate of suicidal ideation was 13.7% (880 people). 13.3% (846 people) of the subjects had experienced depression and out of whom 43.1% (329 people) have had suicidal ideation. 2.7% (164 people) of the subject had received the mental health counseling, and out of whom 40.2% (63 people) have had suicidal ideation. Comparing to group having sleep over 6 hours of more, the group of short sleep had 1.33 times high risk of suicidal ideation among general adults, 1.92 times high risk of suicidal ideation among group who had experienced depression and, 7.10 times high risk of suicidal ideation among group who had received the mental health counseling. Therefore, these results indicate that general adults with short sleep time as well as adults with depression or mental health problems have to be managed to prevent suicide.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.533-539
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• 2015

The purpose of this study was to investigate the effects of 12weeks complexed lower body muscle-strengthening exercise program on fall risk in elderly women. Twenty subjects volunteered to participate who use a welfare center in W city For the study we divided into two groups: exercise group (EC, n=10, mean age:$69.6{\pm}2.2$), comparative group(CG, n=10, mean age:$71.3{\pm}4.6$). In order to investigate the effect of lower body muscle-strengthening program on the degree of risk of fall. It reached a conclusion as follows after having applied BBS (Berg Balance Scale) and OLST (One-Leg Stance Test) to examine the degree of risk of fall. As a result of changes in BBS and OLST, there were significant differences between EG and CG for each test(p<.00). Therefore, it confirmed that the application of complexed lower body muscle-strengthening program to the elderly who have a high risk of fall influences the risk of fall positively.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.401-410
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• 2017

Augmented reality game has differences with traditional games in the way what it includes physical risks happened in the real world. Although accidents related to Pokemon Go are increasing, academic discussions on the issues are rare. Thus, this study explores risk types caused by the augmented reality game and examined how perception of the risks affect usage intention on the game. This study also provides the research implications through comparative analysis between youth group who generally has the tendency toward game addiction and older group. According to the results, teenagers had less usage intention when perceived financial risk increase. In case of over twenty, time risk had negative relationship with usage intention. Physical risk had no significant effect on usage intention for teenagers, but positive relationship was observed in case over twenty. These results imply the necessity of an appropriate regulation for safe game play.

• Korean Journal of Applied Biomechanics
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• v.19 no.4
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• pp.697-705
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• 2009

The purpose of this study is to elucidate the possible cause of falling owing to mechanical energy in elderly women as compared to young women when performing the sit-to-walk movement. Two groups participated in this study: 10 elderly women and 10 young women. We used a ProReflex MCU camera (Qualisis, Sweden) and ground reaction force to evaluate the mechanical work. The muscle power (W) showed the same low negative work in both groups in the extension phase of the knee and hip joints while varying the angular velocity and net muscle moment of force. Elderly women, in particular, showed lower negative work. In mechanical work (J), the knee and hip joints of both groups showed the same amount of negative work in the extension phase. In the hip joint, elderly women showed lower negative work results in each phase. These result showed the possible reasons of falling for elderly women according to the weakness of the thigh muscle of the hip joint during the sit-to-walk movement.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.485-491
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• 2016

The purpose of this study was to compare of the fall risk factors for elderly in the city. 62 people aged 65 years or older were classified as fallers and nonfallers based on experience of their falls in the previous year. By comparing the difference between the groups via evaluations of general characteristics, health related behavior and chronic disease, balance-related psychological (K-ABC) and physical measurement (BBS), depression (SGDS), and the correlations between the significant differences in variables were identified. According to the results, K-ABC, BBS, and SGDS are statistically significant differences between fallers and nonfallers (P<0.05). Also it has positive correlations between BBS and K-ABC (r=0.499) whereas negative correlation between K-ABC and SGDS(r=-0.472).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5671-5676
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• 2011

Volatility Index is the index that represents future volatility of underlying asset implied in option price and expected value of market that measures the possibility of stock price's change expected by investors. The Korea Exchange announces a volatility Index, VKOSPI, since April, 13, 2009. This paper used daily data from January, 2002 through December, 2008 and tested power of Volatility index for future returns of portfolios sorted by size, book-to-market equity and beta. As a result, VKOSPI has the predictive power to future returns and then VKOSPI may be determinants of returns. Also if beta is included when sorting portfolio, the predictive power of VKOSPI is stronger for future portfolio returns.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.193-203
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• 2022

The purpose of this study was to analyze the effect of home training with app on metabolic syndrome risk factors and atherogenic index in on obese middle aged women. It was carried out to present as an intervention method for improving obesity in the pandemic era of COVID-19. The subjects of this study were 33 obese middle aged women, AHTG(n=15) and CG(n=18). Home training using the app for 8 weeks was conducted 3 times a week. The results of this study as follow, metabolic syndrome risk factors was WC(p<.001) significantly decreased, HDL-C(p<.05) significantly increased and atherogenic index was LDL-C/HDL-C(p<.01) significantly increased in the AHTG. In the era of the COVID-19 pandemic, PA plays an important role in alleviating the severe COVID-19 pandemic, in addition to its ameliorating effects on several chronic diseases. The possibility of home training using an app is an effective intervention method for preventing obesity and metabolic syndrome.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.53-58
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• 2024

Traffic accidents are not only a threat to human lives but also pose significant societal costs. Recently, research has been conducted to address the issue of traffic accidents by predicting the risk using deep learning technology and spatiotemporal information of roads. However, while traffic accidents are influenced not only by the spatiotemporal information of roads but also by human factors, research on the latter has been relatively less active. This paper analyzes driver groups and characteristics by applying clustering techniques to a traffic accident dataset and proposes and applies a method to calculate the Risk Level for each driver group and characteristic. In this process, the preprocessing technique suggested in this paper demonstrates a higher Silhouette Score of 0.255 compared to the commonly used One-Hot Embedding & Min-Max Scaling techniques, indicating its suitability as a preprocessing method.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.87-97
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• 2018

Bus, a major transportation mode, doesn't have a systematical evaluation system for dangerous driving behavior yet. This paper analyzes the characteristics and pattern of bus driving behavior using Digital Tacho Graph(DTG) data on express bus. 8 types of dangerous driving behavior were considered according to timeslot, the day of week and weather condition. As results, rapid acceleration, rapid left right turn and rapid deceleratio accounted for more than 97% and relatively high percentages were shown in dawn, on Friday and on the clear day, respectively. From the statistical analysis, correlation between the dangerous driving types and difference according the timeslot were found, and 3 groups considering the level of the dangerous driving were suggested. This study contributes to setting an efficient and reliable eduction system for using driving simulators.