• Journal of the Institute of Electronics and Information Engineers
• /
• v.49 no.10
• /
• pp.240-250
• /
• 2012

For this study, 373 students of H cyber university were chosen to conduct a survey in the spring semester of 2011. The result of this study through structural equation modeling analysis was as follows: First, organizational support significantly affected perceived isolation. Second, organizational support and perceived isolation significantly affected satisfaction. Third, perceived isolation and satisfaction significantly affected learning persistence, while organizational support didn't. In addition, satisfaction was verified as a mediating variable between organizational support, satisfaction, and learning persistence, and satisfaction was verified as a mediating variable between perceived isolation, organizational support and learning persistence. These results imply that perceived isolation and organizational support should be considered for the design and development strategies of instructional courses in order to enhance satisfaction and learning persistence of students in cyber educational environment.

• Journal of dental hygiene science
• /
• v.17 no.6
• /
• pp.472-480
• /
• 2017

The purpose of this study was to investigate Staphylococcus epidermidis contamination on hands of 20 dental hygienists and 140 equipment surface of 20 dental clinics in a local area, from July to August 2017. The degree of S. epidermidis contamination was measured using a hand plate and a rodac plate and then cultured at $35^{\circ}C$ for 24 hours. Based on hand plate criteria, hand contamination was classified into low, middle, and high groups. Analysis of the variance (ANOVA) of the contamination level of the hand parts of the group surface contamination level of the dental clinic equipment was descriptive statistics after clustering lock count. S. epidermidis contamination was moderate in 55% of the hands of dental hygienists. The area of contamination was 29.45 colony-forming units (CFU) on the palm, followed by the middle finger 7.8 CFU, ring finger 6.4 CFU, and thumb 6 CFU. Medical equipment surface contamination was showed that 3-way handle 4.45 CFU, computer mouse 3.37 CFU, mirror handle 1.60 CFU were higher than other areas. The group with high hand contamination had a high positive correlation with the S. epidermidis contamination of the hand. S. epidermidis contamination level was higher on hands than on the medical equipment surface contamination. Therefore, medical staff should recognize the importance of hand hygiene which should be practiced in the manner suggested by World Health Organization. In addition, the medical team needs to be responsible for performing infection control tasks, implementing infection management guidelines and providing systematic education on infectious disease management.

• Journal of Internet Computing and Services
• /
• v.17 no.6
• /
• pp.71-79
• /
• 2016

As computer technology continues to evolve, the Computational Sciences utilized in Physics, Chemistry, Materials Science, and Life Sciences have been attracting more attention. In Korea, to compensate for the drawbacks in Computational Science, students and researchers have been using the EDISON platform. The EDISON platform provides a web portal service for education and research and an environment for addressing complex issues involving five fields, e.g., Computational Fluid Dynamics (CFD), Nanophysics, Computational Chemistry, Structural Dynamics, and Computational Design. As the platform and user scale increase beyond service provision, the need for efficient operation of its currently running data management system is on the rise. In this study, we resolve the data synchronization issues between the existing EDISON platform and web portal. As the EDISON platform is integrated with the web portal, a file management service is implemented to integrate the management of user data and files, which ultimately improves the overall efficiency of file management.

• KIPS Transactions on Computer and Communication Systems
• /
• v.9 no.12
• /
• pp.291-306
• /
• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• Journal of Internet of Things and Convergence
• /
• v.8 no.5
• /
• pp.93-98
• /
• 2022

With the development of new digital technologies, research on various learning tools is being actively conducted. These learning tools are also being developed so that they can be applied to various environments by applying the technology of artificial intelligence or using smart functions to which big data technology is applied. These smart learning tools are contributing a lot to increasing educational effectiveness and learning efficiency. Recently, various learning tools have been applied in universities, and solutions for smart learning from smart attendance are introduced to improve student learning efficiency. This study intends to propose a design for a smart learning tool that can increase the efficiency of project progress and increase the scalability of the results when conducting a company's customized project through such a university's smart learning tool. The proposed smart learning tool is expected to have the advantage of being able to easily adapt to the practical business project as the company-customized projects that can improve practical skills are smoothly used as a learning tool. The proposed project-based smart learning tool model is later built as a related LMS and applied to actual project progress to check its utility, and to revise and supplement the proposed smart learning tool model to provide a project-based smart learning function want to strengthen.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.2
• /
• pp.48-59
• /
• 2024

As functions that support virtualization on their own in hardware are developed, user applications having various workloads are operating efficiently in the virtualization system. SR-IOV is a virtualization support function that takes direct access to PCI devices, thus giving a high I/O performance by minimizing the need for hypervisor or operating system interventions. With SR-IOV, network I/O acceleration can be realized in virtualization systems that have relatively long I/O paths compared to bare-metal systems and frequent context switches between the user area and kernel area. To take performance advantages of SR-IOV, network resource management policies that can derive optimal network performance when SR-IOV is applied to an instance such as a virtual machine(VM) or container are being actively studied.This paper evaluates and analyzes the network performance of SR-IOV implementing I/O acceleration is compared with Virtio in terms of 1) network delay, 2) network throughput, 3) network fairness, 4) performance interference, and 5) multi-network. The contributions of this paper are as follows. First, the network I/O process of Virtio and SR-IOV was clearly explained in the virtualization system, and second, the evaluation results of the network performance of Virtio and SR-IOV were analyzed based on various performance metrics. Third, the system overhead and the possibility of optimization for the SR-IOV network in a virtualization system with high VM density were experimentally confirmed. The experimental results and analysis of the paper are expected to be referenced in the network resource management policy for virtualization systems that operate network-intensive services such as smart factories, connected cars, deep learning inference models, and crowdsourcing.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.17 no.4
• /
• pp.289-299
• /
• 2007

Objectives : To investigate the related factors on musculoskeletal symptoms among Korean female workers. Methods : A total of 1,875 female workers (1,002 office workers and 873 blue-collar workers) was analyzed. They were randomly selected among female workers by cluster sampling and interviewed by well trained interviewer, who filled out a structured questionnaire on the musculoskeletal symptoms. Other factors such as general and occupational characteristics including workplace location, employment condition, work duration, and working condition were also investigated. Results : Current smokers and drinkers were significantly more common in blue-collar workers than in office workers. Those working full time were significantly more common in blue-collar workers than in office workers. Those working over 8 hours per day were also popular in office workers than in blue-collar workers. Subjective musculoskeletal symptoms were significantly higher in the type of work including excessive repetitive work, work using awkward stretching hand upwards, work using repetitive wrist movements, static work using awkward hand posture, and heavy manual lifting and handling works. The mean score of the symptoms were significantly higher in blue-collar than in office workers. The significantly different working factors between two groups were work duration, employment condition and daily work hours. Conclusion : We suggest that the type of work including awkward and repetitive works as well as job type may be one of the most important factors related to musculoskeletal symptoms of female workers in the workplace. Preventive strategy will be needed to prevent the negative impact on health status of working women in the workplace.

• (The) Research of the performance art and culture
• /
• no.43
• /
• pp.293-322
• /
• 2021

The present study examined the scientific awareness appearing in Korean tokusatsu series by focusing on Vectorman: Warriors of the Earth. As a work representing Korean tokusatsu series, Vectorman: Warriors of the Earth achieved the greatest success among tokusatsu series. This work was released thanks to the continued popularity of Japanese tokusatsu since the mid-1980s and the trend of robot animations. Due to the chronic problems regarding Korean children's programs-the oversupply of imported programs and repeated reruns-the need for domestically produced children's programs has continued to come to the fore. However, as the popularity of Korean animation waned beginning in the mid-1990s, inevitably the burden fr producing animation increased. As a result, Vectorman: Warriors of the Earth was produced as a tokusatsu rather than an animation, and because this was a time when an environment for using special effects technology was being fostered in broadcasting stations, computer visual effects were actively used for the series. The response to the new domestically produced tokusatsu series Vectorman: Warriors of the Earth was explosive. The Vectorman series explained the abilities of cosmic beings by using specific scientific terms such as DNA synthesis, brain cell transformation, and special psychological control device instead of ambiguous words like the scientific technology of space. Although the series is unable to describe in detail about the process and cause, the way it defines technology using concrete terms rather than science fiction shows how scientific imagination is manifesting in specific forms in Korean society. Furthermore, the equal relationship between Vectorman and the aliens shows how the science of space, explained with the scientific terms of earth, is an expression of confidence regarding the advancement of Korean scientific technology which represents earth. However, the female characters fail to gain entry into the domain of science and are portrayed as unscientific beings, revealing limitations in terms of scientific awareness.

• Information Systems Review
• /
• v.20 no.2
• /
• pp.39-62
• /
• 2018

Thanks to the growth of computing power and the recent development of data analytics, researchers have started to work on the data produced by users through the Internet or social media. This study is in line with these recent research trends and attempts to adopt data analytical techniques. We focus on the impact of "internal marketing" factors on firm performance, which is typically studied through survey methodologies. We looked into the job review platform Jobplanet (www.jobplanet.co.kr), which is a website where employees and former employees anonymously review companies and their management. With web crawling processes, we collected over 40K data points and performed morphological analysis to classify employees' reviews for internal marketing data. We then implemented econometric analysis to see the relationship between internal marketing and market capitalization. Contrary to the findings of extant survey studies, internal marketing is positively related to a firm's market capitalization only within a limited area. In most of the areas, the relationships are negative. Particularly, female-friendly environment and human resource development (HRD) are the areas exhibiting positive relations with market capitalization in the manufacturing industry. In the service industry, most of the areas, such as employ welfare and work-life balance, are negatively related with market capitalization. When firm size is small (or the history is short), female-friendly environment positively affect firm performance. On the contrary, when firm size is big (or the history is long), most of the internal marketing factors are either negative or insignificant. We explain the theoretical contributions and managerial implications with these results.

• The KIPS Transactions:PartD
• /
• v.10D no.7
• /
• pp.1149-1154
• /
• 2003

Due to various requirements for the user access control to large databases in the hospitals and the banks, database security has been emphasized. There are many security models for database systems using wide variety of policy-based access control methods. However, they are not functionally enough to meet the requirements for the complicated and various types of access control. In this paper, we propose a database security system that can individually control user access to data groups of various sites and is suitable for the situation where the user's access privilege to arbitrary data is changed frequently. Data group(s) in different sixes d is defined by the table name(s), attribute(s) and/or record key(s), and the access privilege is defined by security levels, roles and polices. The proposed system operates in two phases. The first phase is composed of a modified MAC (Mandatory Access Control) model and RBAC (Role-Based Access Control) model. A user can access any data that has lower or equal security levels, and that is accessible by the roles to which the user is assigned. All types of access mode are controlled in this phase. In the second phase, a modified DAC(Discretionary Access Control) model is applied to re-control the 'read' mode by filtering out the non-accessible data from the result obtained at the first phase. For this purpose, we also defined the user group s that can be characterized by security levels, roles or any partition of users. The policies represented in the form of Block(s, d, r) were also defined and used to control access to any data or data group(s) that is not permitted in 'read ' mode. With this proposed security system, more complicated 'read' access to various data sizes for individual users can be flexibly controlled, while other access mode can be controlled as usual. An implementation example for a database system that manages specimen and clinical information is presented.