• Journal of Practical Engineering Education
• /
• v.15 no.3
• /
• pp.597-603
• /
• 2023

This study evaluates the AI digital competencies of teachers and presents a step-by-step framework for teacher's AI digital competencies that can be utilized in training. To do this, AI digital competencies were analyzed from the perspective of utilization and disposition, linked with the Technological Pedagogical Content Knowledge (TPACK) perspective. Then, as a precedent for step-by-step teacher AI digital competencies, the 3-step competency of the British Education and Training Foundation and the UNESCO ICT Teacher Competency Framework were presented. In this study, teacher's AI digital competencies were divided into three stages: entry, adaptation, and leadership, considering precedent research and domestic conditions. The initial entry stage passed the validity test in the second round of the Delphi survey, and the other two stages passed in the first round. The final entry stage is described as a stage where teachers understand AI digital but have difficulty implementing it, the adaptation stage is a level applied to standard curricula, and the leadership stage is a level where AI digital is applied in advanced courses and teachers serve as models for others. Through the overall AI digital competencies presented in this study, detailed competency development is possible, and it can be used as a reference material for developing evaluation items.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.34 no.1
• /
• pp.71-82
• /
• 2024

With the advancement of information and communication technology (ICT), the use of electronic document types such as PDF, MS Office, and HWP files has increased. Such trend has led the cyber attackers increasingly try to spread malicious documents through e-mails and messengers. To counter such attacks, AI-based methodologies have been actively employed in order to detect malicious document files. The main challenge in detecting malicious HWP(Hangul Word Processor) files is the lack of quality dataset due to its usage is limited in Korea, compared to PDF and MS-Office files that are highly being utilized worldwide. To address this limitation, data augmentation have been proposed to diversify training data by transforming existing dataset, but as the usefulness of the augmented data is not evaluated, augmented data could end up harming model's performance. In this paper, we propose an effective semi-supervised learning technique in detecting malicious HWP document files, which improves overall AI model performance via quantifying the utility of augmented data and filtering out useless training data.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.10 no.4
• /
• pp.461-467
• /
• 2015

119 Integrated Emergency Management System, 119 IEMS hereinafter, is specialized command and control system for fire H.Q., that supports effective response activity at Fire, Rescue, and First Aids; it covers the emergency call taking, dispatch command delivery and situation control after dispatch command. While the efficiency of emergency response activity of call-taker and dispatcher is directly linked to the capability of qualified response in protecting the life and properties at real-time emergency condition, there is not any similar simulator system that can be used for training purposes for newly allocated personnel or beginner of emergency call taking and dispatch activity - 119 IEMS in fire H.Q. is the operation system that cannot be shared with other purposes, and they're highly expensive ICT system and infrastructure to be used as training and education. 119 Integrated Emergency Management Simulator System, 119 IEMS Simulator, was developed to be utilized in low cost for the training of 119 emergency call taker and dispatcher, and it can be used in training of various types of disaster and emergency handling, spans to emergency call taking, dispatch command, and field report and situation control after dispatch command.

• Journal of Practical Engineering Education
• /
• v.12 no.1
• /
• pp.177-186
• /
• 2020

The purpose of this study is to view the current status of the smart manufacturing ecosystem and to use it as an objective basis for establishing a sustainable manpower training policy support plans for smart manufacturing suppliers. Therefore, questionnaires were constructed and distributed to 2,200 domestic smart manufacturing supply firms and 6,000 demand firms, which received responses from 259 supply firms and 155 demand firms. The results showed that both supply and demand firms needed digital converged workforce with comprehensive expertise and field-oriented digital transformation workforce. In the method of securing professional manpower, the demand for in-service training and post-management training was high. Based on the results of this study, this study suggests the manpower training policy support plans for smart manufacturing supply firms and contributes to strengthening the global market competitiveness of smart manufacturing supply firms in Korea.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.9 no.2
• /
• pp.211-217
• /
• 2014

This study is of elderly care facilities in Seoul oral health care providers survey of recognition and affecting factors. The subjects were selected 92 people who care providers, data were collected using a questionnaire. Multiple regression analysis, duration of carrer and experience of oral care education significantly affected in the presence of factors. As a result, in order to improve the oral health of the elderly nursing staff to promote oral health education and training programs are urgently needed.

• Convergence Security Journal
• /
• v.19 no.4
• /
• pp.151-163
• /
• 2019

As smart devices and communication technologies have developed rapidly, the healthcare industry in the globe is seeing remarkable issues on medical security. At the same time, personal medical records are being shared in the network, which would raise the risk of information security. This thesis aims to develop the curriculum to raise the awareness of information security among workers in medical institutions by referring to NCS(National Competency Standards) International standards, medical institutions' requirements and educational institutions' curriculums on information security based on proven results from medical devices and systems introduced in the public health centers, territorial branches, community health posts and primary, secondary, tertiary hospitals. Thus, this thesis offers the method to improve information security in healthcare institutions through validation testing conducted by medical practitioners and ICT experts.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.3
• /
• pp.595-600
• /
• 2019

Educational tools for infants and younger students are becoming smarter as ICT-based digital technology convergence extends according to the development of technology. As the digital interaction function of smart education tools gives students greater immersion and fun, a learning might become a play to the students. The technologies used in the implementation of smart education tools come from the disciplines of robotics, computer engineering, programming, and engineering and mathematical foundations and these can be integrated into the field of education itself. This paper designs and implements a product based on optimized physical computing for R&D and education in consideration of the characteristics of educational tool robots used in the field education. It was developed to enable physical education for sensing information processing, software design and programming practice training that is the basis of robot system.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.2
• /
• pp.1-15
• /
• 2022

Purpose: This study established the state of the utilisation of information and communication technologies (ICTs) in Zimbabwean urban district councils to manage municipal knowledge. The way municipal knowledge and service delivery information are managed influences the usefulness and accessibility of the information to the various stakeholders. The effective management of this information thus determines the quality of decisions made by Zimbabwean urban councils. Research design, data and methodology: The study adopted a single case study design, employing a purely qualitative research approach. The purposive sampling technique was used to select key informants who participated in the study. Collected data were analysed using thematic content analysis. Results: The findings revealed that the Masvingo City Council was not fully utilising ICTs to manage service delivery knowledge. It has been at a minimum level in cases where they have been used. Conclusions: This research contributes to the Zimbabwean local government body of knowledge, providing the evidence needed to form a basis for future research, focusing on knowledge management and information technology utilisation in municipal organisations. The researchers recommended that Masvingo City Council direct more resources towards improving the existing ICT infrastructure and employee training programmes to improve the management of the organisation's knowledge.

• Smart Media Journal
• /
• v.4 no.4
• /
• pp.86-92
• /
• 2015

Recently, it is entering the hyper connectivity age due to the development of sensor and communication technology. In particular, it is emerging new industries such as the IoT, bigdata, cloud by convergence with the ICT and other industries. Because these industries are high the gravity of the software, the demand for software manpower is increasing rapidly. But university curriculum don't deviate from the traditional curriculum, and lack of positive response to these changes is occurring a mismatch with the industry demand. In this paper, investigate a software curriculums of the four-year university, and will attempt to investigate the perception about the university software course of the corporate perspective. Also, we draw a on-site fitness of universities training course by analysis of importance on software training courses between universities and businesses. Finally, we propose a strategy model for software training course design appropriate for the field.

• Korean Journal of Agricultural Science
• /
• v.46 no.2
• /
• pp.381-393
• /
• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.