• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.721-727
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• 2022

Construction safety remains an ongoing concern, and project managers have been increasingly forced to cope with myriad uncertainties related to human operations on construction sites and the lack of a skilled workforce in hazardous circumstances. Various construction fatality monitoring systems have been widely proposed as alternatives to overcome these difficulties and to improve safety management performance. In this study, we propose an intelligent, automatic control system that can proactively protect workers using both the analysis of big data of past safety accidents, as well as the real-time detection of worker non-compliance in using personal protective equipment (PPE) on a construction site. These data are obtained using computer vision technology and data analytics, which are integrated and reinforced by lessons learned from the analysis of big data of safety accidents that occurred in the last 10 years. The system offers data-informed recommendations for high-risk workers, and proactively eliminates the possibility of safety accidents. As an illustrative case, we selected a pilot project and applied the proposed system to workers in uncontrolled environments. Decreases in workers PPE non-compliance rates, improvements in variable compliance rates, reductions in severe fatalities through guidelines that are customized according to the worker, and accelerations in safety performance achievements are expected.

• Asia Marketing Journal
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• 제18권3호
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• pp.65-88
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• 2016

Development of information and communication technology is changing commerce environment and consumer purchasing behavior has also been changed. Globalization is becoming increasingly prevalent in the world today and many factors such as culture, politics, and economics may influence the applicability of management theories. Concurrently, corporate managers are faced with the challenge of offering usable and useful applications to the local users. Besides, many scholars strongly support that the criteria for M-Commerce adoption in developing countries are different from that of developed countries, due to cultural, security, social, political, economic, and technological aspects. This research tried to investigate the differences on the adoption of mobile commerce between developed and developing countries. In this study, the motivation for studying advanced mobile phone services adoption in the South Korea and Viet Nam is presented. Second, M-Commerce adoption model is introduced as a starting point for the research model. We then integrate price, personal innovativeness, quality dimension and perceived of playfulness into our model. Next, we describe our method and report the results of our analysis. The paper concludes with a discussion of the results from both the South Korea and Viet Nam with implications.

• 임상간호연구
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• 제16권3호
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• pp.25-37
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• 2010

Purpose: The purpose of this study was to examine potential factors related to the management of cancer pain, that is, hospital institutional factors as well as personal aspects of nurses. Methods: This study was a descriptive research study in which 229 RNs working in 2 tertiary medical institutions in Seoul and 4 secondary medical institutions in Seoul, Incheon and Gyeonggi were surveyed. Results: It was found that nurses' knowledge about pain intervention, their working division and their knowledge about the use of analgesics had different effects on their pharmacologic interventions. These 3 variables explained 14.5% of the variance regarding pharmacologic interventions. On the other hand, nurses' knowledge about pain interventions and nursing organization were variables affecting non-pharmacologic interventions by the nurses. These two variables explained 22.1% of the variance regarding non-pharmacologic interventions by the nurses. Conclusion: The findings indicate that nursing organization, one of hospital institutional factors, had significant effects on non-pharmacologic interventions. Therefore, to increase effective pain management by nurses, an organizational system should be established such as placement of nurse practitioners, improvement of nurses' autonomy in pain management, and development and distribution of standardized guidelines.

• 한국IT서비스학회지
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• 제22권1호
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• pp.29-42
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• 2023

Amid the global movement to harness individual data and boost the data economy, MyData services that utilize personal data are being implemented in earnest in the financial sector in Korea due to the government's active encouragement policy. To this end, MyData service providers must have a service system for business operators that collects and efficiently loads personal information scattered in various financial institutions with individual consent, and comprehensively analyzes and provides it. The system must not only have strict security management capabilities, but also be built in a flexible form that takes into account future data scalability and additional services. In this paper, it has been proposed to be implemented the essential functions that MyData service system must have and the core functions that can manage the entire data life cycle from data collection, distribution to disposal in the form of a platform. In addition, the strengths of the platform structure were reviewed, and the effectiveness of the platform model was examined upon application.

• 유통과학연구
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• 제20권4호
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• pp.1-7
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• 2022

Economic progress has changed views of people in interpreting welfare and this affects the level of household consumption expenditure. An analysis of this issue is important to do so that the community may encourage the utilization and distribution of community welfare to be wiser and balanced in order to achieve the properness and appropriateness of welfare programs management with the development goals. Purpose: This study aims to analyze the impact of personal income, experience on lifestyle, and its distribution to household consumption of Makassar City Industrial workers. Research Design, Data, and Methodology: Data collection in this study was carried out by distributing questionnaires to 100 respondents in Makassar City, South Sulawesi. Partial Least Square (PLS) analysis was used as data analysis. Result: This study indicated income has a positive and significant effect on lifestyle, while experience has no significant effect on lifestyle, and family member has a positive and significant effect on lifestyle. This study also indicated that lifestyle has a significant effect on Household Consumption. Conclusion: Consumption patterns are influenced by many factors, so people need to be wise in regulating consumption patterns and managing the distribution of their economic resources in order to achieve balance of economic in family.

• 유통과학연구
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• 제12권1호
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• pp.29-33
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• 2014

Purpose - The focal point of this research is to study the implications of retention, various reasons for attrition and also different ways to control attrition along with the employee retention strategies implementing by the Indian IT sector. Research design, data and methodology - After thorough literature review on employee attrition and retention, questionnaire has prepared to collect the opinions of 200 employees which were chosen from 20 IT companies (10 each from large and medium size companies) with simple random sampling technique and also gathered the opinion of these companies HR managers on strategies they are implementing to retain their talent pool through personal and telephonic interviews. Results -The research completely limited to the IT companies located in the city of Pune which is emerged as a new IT hub of India. The collected data was analyzed with Microsoft Excel and frequency distribution. Conclusions - The researchers identified job associated, compensation related and inter-personal relations for quitting their positions along with the outlook of Indian IT companies related to the identification and implementation of retention strategies like incessant hikes in compensation package, improved working conditions, continuous introduction of employee welfare facilities, and genuine promotional policy, recognition and rewards, career planning and development, and exemplary leadership.

• 한국빅데이터학회지
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• 제6권2호
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• pp.181-195
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• 2021

개인데이터의 활용을 넘어서 마이데이터로의 전환에 대한 관심이 세계적으로 높은 가운데, 실질적으로 마이데이터의 이념이 구현되고 발전하기 위해서는 마이데이터의 사상에 충실한 유용한 서비스가 다양하게 개발되어야 한다. 특히 마이데이터의 발전을 위해서는 무엇보다 융합이 전제되어야 한다. 본 연구는 마이데이터 융합서비스 활성화 전략을 균형 잡힌 네 가지 관점(BLTS: Business, Legal, Technology, Social)에서 제시하였다. 마이데이터 분야에서 가장 선구적이라는 유럽의 정책과 서비스 등을 국내 상황과 비교하여 국내의 융합서비스 활성화 방안을 제시하는 것을 목적으로 하였다. 본 연구를 통해 마이데이터 산업 및 정책에서 균형적이면서 발전적인 아이디어를 얻을 수 있기를 기대한다.

• 융합보안논문지
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• 제22권3호
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• pp.69-77
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• 2022

세계적으로 의료분야는 기술의 발전과 ICT 기술과의 융합으로 매우 빠르게 성장하고 있으며, 개인 건강정보, 유전자정보, 임상정보 등을 활용한 정밀의료(Precision Medicine)는 차세대 의료산업으로 성장하고 있다. 정밀의료는 개인의 건강과 생명을 다루기 때문에 개인정보보호 및 보건의료정보 보호 문제가 전면으로 대두되고 있다. 이에 따라, 본 논문에서는 클라우드 및 의료분야 국내·외 관련 표준, 법·제도 등의 기준에 맞추어 보안 개선사항을 제시하고 있으며, 이를 통해 안전한 정밀의료 실현을 위한 보건의료정보 보호 방안을 제안하고 있다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제67차 동계학술대회논문집 31권1호
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• pp.461-463
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• 2023

MZ세대를 중심으로 자기관리를 열심히 하는 사람들이 증가함에 따라 화장의 기본이 되는 개인 피부톤(퍼스널 컬러)을 찾는 것이 중요시되고 있다. 현재 대다수 사람은 자신에게 어울리는 퍼스널 컬러를 찾기 위해 높은 비용을 지불하여 전문가를 이용하거나 객관적이고 정량화된 기준 없이 오랜 시간을 투자하여 스스로 퍼스널 컬러를 찾는 등 시간과 비용 측면에서의 한계점을 가지고 있다. 본 논문에서는 이를 보완하기 위해 이미지 기반 인공지능 기술(객체 탐지, 객체 분할, BeautyGAN)을 적용하여 데이터 기반의 정량적인 기준을 생성하고, 퍼스널 컬러에 알맞은 화장품 추천 웹 서비스를 제안한다.

• Educational Technology International
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• 제6권2호
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• pp.113-130
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• 2005

The purpose of this study was to determine the teaching styles of professors who teach adult students in selected higher institutions. It also identified whether professors' teaching styles were teacher-centered or learner-centered and examined the relationship between instructors' teaching styles and such instructor demographic variables as gender, years of teaching experience, and taught level of courses. This study used The Principles of Adult Learning Scale(PALS) (Conti,1983) to measure instructional preferences. Demographic characteristics were collected through a personal data inventory. The analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA) tests were used to analyze the data. The data were examined for significance at the .05 level of confidence by means of analysis of variance. The dependent variables in this study were teaching styles of full-time professor, as represented by the seven subscores from the standardized instrument on the PALS. The seven subscores were: (1) learner-centered activities, (2) personalizing instruction, (3) relating to experience, (4) assessing student needs, (5) climate building, (6) participation in the learning process, and (7) flexibility for personal development. The study established that there was a significant difference in mean scores on the PALS between participants when examined by the number of years of teaching experiences.