• The Journal of Korean Association of Computer Education
• /
• v.15 no.4
• /
• pp.41-49
• /
• 2012

Advanced ICT(Information and Communication Technology) and popularization of smart devices change our culture as well as our life style and it has changed the way of learning in education area. There have been some researches to make effective smart education systems based on ICT but few of them were designed by a solid concept of smart education. This is because there have been few researches on developing a conceptual model for smart education. The purpose of this study is to propose a conceptual model for smart education: CTLA(Creation, Teaching, Learning and Assessment) model. It includes activities of smart creation, smart teaching, smart learning, and smart assessment considering ICT environment for education and characteristics of digital natives.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.4
• /
• pp.198-207
• /
• 2020

Smart City operates with the purpose of solving urban problems. The important thing in smart city operation is that spatial information must be managed at a high level. In addition, it has the characteristics of being managed by one platform. This study presented the core value dimension of smart city based on analysis of various domestic and overseas smart city operation cases. Smart cities are basically operated based on spatial information, and the higher the level of spatial information, the more smart city services can be connected and managed in an integrated manner. The performance dimension of smart city core values presented in the study includes prosperity, personalization, convenience, accuracy, sustainability, safety, environment, integration, etc., and there is a connectivity dimension, a concept that can be managed in an integrated manner. This study will be useful for empirical research on smart city performance dimension design and surveys based on case studies. It will also help field managers who develop, operate, and manage smart cities when quantifying performance dimensions.

• Korean Journal of Organic Agriculture
• /
• v.31 no.3
• /
• pp.229-247
• /
• 2023

This study investigates the facility use status of smart farming farmers to improve facility use rate of farmers. To this end, a survey was conducted on smart farming farmers in Jeonnam province, and the main survey contents are as follows: facility use rate, the reasons for low facility use, the perception of the introduction and use of smart farming etc. As a result of the survey, many farmers have introduced smart farming facilities even though they do not have enough use capacity. Thus it is necessary to improve the use capacity of farmers. Second, the average facility use rate of farmers was 65.1%, and 37.5% of respondents did not use even 50% of smart farming facilities. To improve the use rate, education on how to use facilities and continuous consulting support for farmers are needed. And the largest number of farmers perceived the risk like crop damage or facility failure due to poor use of facilities. This means that risk management due to the smart farming facilities is important. Third, farmers answered that rapid and continuous repair service were the most important when using facilities. Thus it is important to foster rear industries such as maintenance companies to stably operate smart farming facilities.

• Journal of Korean Society for Quality Management
• /
• v.49 no.4
• /
• pp.551-567
• /
• 2021

Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.2
• /
• pp.43-57
• /
• 2021

Smart factories can be defined as intelligent factories that produce products through IoT-based data. In order to build and operate a smart factory, various new technologies such as CPS, IoT, Big Data, and AI are to be introduced and utilized, while the implementation of a MES system that accurately and quickly collects equipment data and production performance is as important as those new technologies. First of all, it is very essential to build a smart factory appropriate to the current status of the company. In this study, what are the essential prerequisite factors for successfully implementing a smart factory was investigated. A case study has been carried out to illustrate the effect of implementing ERP and MES, and to examine the extensibilities into a smart factory. ERP and MES as an integrated manufacturing information system do not imply a smart factory, however, it has been confirmed that ERP and MES are necessary conditions among many factors for developing into a smart factory. Therefore, the stepwise implementation of intelligent MES through the expansion of MES function was suggested. An intelligent MES that is capable of making various decisions has been investigated as a prototyping system by applying data mining techniques and big data analysis. In the end, in order for small and medium enterprises to implement a low-cost, high-efficiency smart factory, the level and goal of the smart factory must be clearly defined, and the transition to ERP and MES-based intelligent factories could be a potential alternative.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.3
• /
• pp.173-185
• /
• 2022

For the smooth implementation and success of smart city projects, it is necessary to recognize that there is a difference in the perception of value judgments or strategic goals among major stakeholders in the planning process. And it is necessary to aim the values and goals of smart cities through reconciliation of these differences. The two major stakeholders in the smart city development project are citizens group and government officials group. Government officials are in charge of establishing and implementing policies for smart city projects, and their value judgments and perceptions influence the policy direction. In these respects, government officials can be an important stakeholder group. Citizens are a group that includes ordinary residents and business owners who live in smart cities and are the ultimate users of infrastructure and facilities. This study investigated the importance perceptions of citizens and government officials, who are the major stakeholders, about the core values and strategic goals that the smart city project aims. Responses were collected using a structured questionnaire to which the AHP methodology was applied. And the priority of perceptions for constituent items was compared for each stakeholder group. Through the comparative analysis results, it was empirically confirmed that there is a difference in the values and goals pursued by the smart city project between stakeholder groups. As an empirical study on the stakeholders of the smart city project, this study is meaningful in contributing to the theoretical development in that it suggests that the conceptual structural model of the smart city strategy system presented in previous studies can be applied in practice.

• Journal of Smart Tourism
• /
• v.1 no.1
• /
• pp.3-8
• /
• 2021

The growing literature on smart tourism and the increasing number of smart tourism initiatives demonstrate that the idea of smart tourism is captivating and that its potential is great. However, its concrete implementation so far has lacked the transformative focus called for by smart development principles. This paper suggests that conceptualizing smart tourism development as a utopian endeavor that requires critiquing the status quo and collective imagining of better tourism and good destinations could help smart tourism efforts transcend their instrumental, short-term, and fragmented character. It further introduces the concept of the Smart Tourism Mindset to propose that, as a utopian enterprise, smart tourism needs to be guided by specific values and traits that permeate actors at all levels. The paper concludes by calling for a greater focus on identifying what these values and traits are and how to best establish and communicate the Smart Tourism Mindset.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.42 no.3
• /
• pp.25-38
• /
• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

• Journal of Information Processing Systems
• /
• v.7 no.1
• /
• pp.209-220
• /
• 2011

One of the major factors influencing the phenomenal growth of the smart phone market is the active development applications based on open environments. Despite difficulties in finding and downloading applications due to the small screens and inconvenient interfaces of smart phones, users download applications nearly every day. Such user behavior patterns indicate the significance of smart phone applications. So far, studies on applications have focused mainly on technical approaches, including recommendation systems. Meanwhile, the issue of culture, as an aspect of user characteristics regarding smart phone use, remains largely unexamined throughout the world. Hence, the present study attempts to analyze the highest ranked smart phone applications downloaded and paid for that are ranked the highest in 10 countries (Korea, Japan, China, India, the UK, USA, Indonesia, Canada, France, and Mexico) and we then derive the CDSC (Cultural Dimensions Score of Content) for these applications. The results derived are, then, mapped to the cultural dimensions model to determine the CISC (Cultural Index Score for Country). Further, culturally significant differences in smart phone environments are identified using MDS analysis.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2011.06a
• /
• pp.115-118
• /
• 2011

인류를 구할 8가지 기술 중 한가지로 스마트 그리드(Smart Grid)가 소개된 바 있다. 즉 에너지 사용의 효율성을 높여 전력량과 비용을 줄이고 전력 공급자와 소비자 간의 실시간 정보교환이 가능한 지능형 전력망이라 할 수 있다. 그러나 스마트 그리드의 취약점들로 인하여, Smart Meter가 해킹을 당해 정전으로 인한 대규모 피해가 예상 될 수 있다. 본 논문에서는 Smart Meter에 대한 취약점 분석을 실시하고, Smart Meter의 Gateway 보안을 위해서 접근제어와 인증을 통해, 사용자의 접근과 개폐에 대한 보안을 실시한다. 범죄가 발생했을 포렌식 자료를 통한 법적 책임에 관한 내용을 연구한다.