• KIPS Transactions on Computer and Communication Systems
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• v.1 no.1
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• pp.21-28
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• 2012

In this paper, both content analysis and Romey analysis were employed to analyze three 'General Computer' textbooks used in commerce and information high schools. The content analysis was employed to study the organization and contents of the textbooks, whereas the Romey analysis to determine the inquisitive tendency of four sections - Text, Data, Activity and Evaluation. The results from the content analysis showed that textbooks differed in the number of subsections, the number of pages in each section, and the number of concepts introduced in each section. Also, results from the Romey analysis demonstrated that the section Text in all the textbooks was written with a low level of inquisitive tendency, but also that they differed in that two other sections Data and Activity in one textbook exhibited a high level of inquisitive tendency while the other section Evaluation in two textbooks did. Using the aforementioned results, we proposed ways to improve the readability of 'General Computer' textbooks.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.9
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• pp.261-268
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• 2016

One of the most comfortable transportation in our day to day life is the bus, which provides real time information. In order to obtain reliable information on the arrival time of this information, BIS (Bus Information System) needs to analyse the main factor for the traffic environment. To manage the system, regional information analysis by local municipalities should be prioritized. In this paper, we analyse the features that are expected to affect traffic environment by commuting the travel to school, market, tourism and other influences around Suncheon-si, which has the facilities for education, tourism and urban locality. Data cleaning is performed on the DB information that is being collected from characterization BIS, which is organized by day of the week, day and month, to analyse the key factors of the traffic flow. If this is utilized by applying a key factor to the real time information, it is expected to provide more reliable and accurate information.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.3
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• pp.394-403
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• 2019

Objectives: This study was conducted to examine the effect of the utilization of the educational planning model (ADDIE) and self-leadership of occupational health managers (OHM) on work performance. Methods: The sample of this study was 180 OHM with over six months of experience, who attended continuing education by the Korean Academic Society of Occupational Health Nursing. Data were collected from April to June 2019 and analyzed using frequency analysis, t-test, F-test, Pearson's correlation analysis, and multiple regression analysis through SPSS Program Ver. 23. Results: According to the results of multiple regression analysis of the factors influencing the work performance of OHM, the model was significant and the explanatory power was 40%. Self-leadership (${\beta}=.45$, p=.001), utilization of the educational planning model (${\beta}=.20$, p<.005), and position (${\beta}=.16$, p=.024) were significant influence factors on work performance. Conclusions: To improve the work performance of OHM, a customized program needs to be developed that promotes the utilization ability of the educational planning model and a strategy of benchmarking high performers in the light of their positions. The improvement of the work performance of OHM will eventually make a contribution to the reduction of industrial disaster and occupational diseases.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.8-14
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• 2019

Due to the development of computer technology, IoT technology is being used in various fields of industry, economy, medical service and education. However, multimedia information processed through IoT equipment is still one of the major issues in the application sector. In this paper, a big data protection model for users of IoT based IoT is proposed to ensure integrity of users' multimedia information processed through IoT equipment. The proposed model aims to prevent users' illegal exploitation of big data information collected through IoT equipment without users' consent. The proposed model uses signatures and authentication information for IoT users in a hybrid cryptographic method. The proposed model feature ensuring integrity and confidentiality of users' big data collected through IoT equipment. In addition, the user's big data is not abused without the user's consent because the user's signature information is encrypted using a steganography-based cryptography-based encryption technique.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.587-592
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• 2019

The importance of software technologies is becoming more prominent because of the competition to secure a competitive edge in software, which has been intensified since the emergence of smartphones and IoT. Thus, to assure the initiative in the global software industry and to foster superior human resources, there is a growing need for outstanding software development professionals. This paper analyzes the factors that affect the basic perception of software, the need for software development, and the enhancement of software coding ability based on a compulsory software class, which aims to increase the workforce of the converged software industry. The analysis shows that among other technical practices to enhance coding ability, learner-centered technical contents showed the most positive effect regarding the recognition and motive of development and are an essential factor in improving coding skills. The findings indicate that the need for program development and active involvement in the development of the program are the most important factors in improving the practical ability. The analysis presents meaningful results by suggesting a methodology for improving software development capabilities.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.116-122
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• 2019

In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1513-1516
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• 2004

선진국들은 위성개발을 위한 첨단기술의 개발 및 적용을 위한 연구가 지속적으로 이루어지고 있으며 실제 위성의 개발에도 직접적으로 적용하고 있다. 그러나 이러한 첨단 위성의 기술이전을 기피함에 따라 국내주도의 독자적인 차세대 위성의 개발이 필요하게 되었다. 국내에서도 우주개발 중장기계획에 따라 지구관측위성, 통신위성, 기상위성 등 다양한 위성개발이 추진되고 있으나, 새로운 위성의 설계, 제작, 조립 및 시험, 검증에는 많은 시설 및 장비가 필요하며 오랜 개발기간과 많은 예산이 소요된다. 이를 해결하기 위해 새로운 위성의 개발 시 선진국에서는 범용위성 개발 테스트베드를 제작하여 사전에 위성시스템을 모델링 및 검증함으로써 개발기간의 최적화, 개발예산의 최소화, 신기술의 적용 등에 활용하고 있는 추세이다. 국내의 경우, 현재 위성의 지상관제와 운용요원의 교육을 위해 위성시뮬레이터를 제작하여 활용하는 단계이며, 새로운 위성 개발을 위한 위성전자전산시스템 개발검증장비 및 활용기술에 대한 기반기술 확보를 위한 연구가 진행 중이다. 향후 다양한 위성임무에 대응한 위성의 개발기간 단축 및 비용절감과 첨단 위성전자시스템 및 부품기술의 사전 검증을 위해 위성전자전산시스템 개발검증장비에 대한 기반기술 확보가 필수적이다. 본 논문에서는 해외 위성선진국에서의 위성전자전산시스템 기술에 대해 살펴보고 현재까지 진행된 차세대 위성개발을 위한 위성시스템 개발검증장비의 설계에 대해 알아보고자 한다.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.134-139
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• 2019

As the development of modern society progresses rapidly, the technologies of society as a whole are progressing and becoming more advanced. Especially in the field of security, more sophisticated and intelligent attacks are being created. Meanwhile, damaging situations are becoming several times larger than before Therefore, it is necessary to re-classify and enhance the existing classification system. It is required to minimize the intrusion damage by actively responding to intelligent intrusions by applying this classification scheme to currently operating intrusion detection systems. In this paper, we analyze the intrusion type caused by intelligent attack We propose a new classification scheme for intrusion situations to guarantee the service safety, reliability, and availability of the target system, We use this classification model to lay the foundations for the design and implementation of a smart intrusion cognitive system capable of early detection of intrusion, the damages caused by intrusion, and more collections active response.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.129-134
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• 2018

This is about the CCTV hacking which is one of the recently emerging privacy-spilling crime. Recently, the usage of CCTV is being increased, and Black Hat Hackers spill the individual's privacy by hacking it. However, That crime is being increased. However, most users rarely fulfill the security management, and the government's measures are insufficient. Therfore, this research report implies some security technologies including user authentication protocols such as SSH Tunneling and Media Encryption Algorithm. and recently developed technologies including Wookyeong Information Technology's SecuWatcher for CCTV, Norma's CCTV Care App, and MarkAny's Password SAFERTM for CCTV.

• Journal of Korean Gerontological Nursing
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• v.20 no.sup1
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• pp.119-126
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• 2018

Purpose: The aim of this study was to describe problems and solutions for older adults living alone and using wearable devices to report depressive moods in daily life. In addition, gerontology nurses' competencies and strategies were discussed based on lessons learned from the observational study. Methods: A hybrid method was used, combining literature review and content analyses based on interviews with 53 participants and observations done by the research team. Results: Main issues and relevant strategies were identified in terms of (1) applicability of information and communications technology (ICT) devices for older adults, (2) feasibility of older adults' use of ICT devices, (3) integration of ICT devices into daily life, and (4) relevant issues when older adults use ICT. Important roles and competencies were discussed regarding general and gerontology aspects of ICT. Conclusion: Findings indicate that a wearable device is feasible to measure daily depressive moods in older adults living alone in community settings. To extend our research protocol to practice, gerontology nurses must adequately prepare to meet emerging health care trends and end users' needs for ICT-based nursing. It is necessary to develop diverse educational programs and active involvement in research and design of relevant devices and programs.