• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.4
• /
• pp.218-237
• /
• 2018

The purpose of this study is to propose a mid - range low - orbit water disaster monitoring satellite development plan to revolutionize water disaster management infrastructure through securing an independent and leading observation infrastructure and to secure safety against disaster prepared for climate change. Water and water disaster satellites should be able to detect changes in the surface of the ground and observe hydrological factors during daytime, nighttime, and bad weather. In addition, independent technology development should be possible. To do this, we selected C-band image radar payload considering domestic technology and water resources management, and suggested detailed development plan. In this way, it is reflected in the national next-generation mid-satellite 2-phase project plan to secure the basis for building a disaster monitoring system related to wide-area water.

• Journal of Practical Engineering Education
• /
• v.11 no.1
• /
• pp.87-103
• /
• 2019

The purpose of this study is to examine the factors affecting the intention of smart device internet usage from the perspective of lifelong learning of elderly people. Survey was conducted for understanding the factors affecting the internet usage intention of smart devices with 150 elderly people who visited the Gwangju Senior Technology Center (GSTC). The empirical results show that the perceived economic value and practical value of the elderly have a significant effect on the intention of utilizing the Internet of Smart Device. Although the moderating effect of the individual innovation of the elderly is not significant, Participation in social activities significantly moderated the relationship between perceived value and intention to use internet. In addition, the elderly expected that the quality of life would be improved via the use of smart devices.

• Journal of Internet Computing and Services
• /
• v.20 no.1
• /
• pp.97-111
• /
• 2019

This study discuss how the meaning and role of the state in the process of globalization are defined by the media and how the regulation is related to the ideology and value inherent in the process of globalization. Specifically, we tried to examine how the meaning and role of neoliberal state, which characterizes globalization process, is justified and reinforced by media. The purpose of this study is to understand the characteristics of the dominant globalization process inherent in the discourse of national competitiveness by analyzing how the national competitiveness index report released by the World Economic Forum is reported by the media every year. In addition, we sought to understand the significance and role of the state in the globalization process by examining what areas are emphasized and excluded from the national competitiveness index composed of economic infrastructure, economic efficiency, and enterprise innovation activities.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.75-81
• /
• 2021

With the development of advanced information and communication technology, Generation Z, familiar with digital culture, is drawing keen attention as a major consumer of the fashion industry. In this study, casual wear for Generation Z, who is proficient in digital devices and prefers information acquisition and lifestyle over the Internet, was designed using 3D virtual simulation and developed into four looks: Gulish, Sportive, Easy and Contemporary. The use of simulation of 3D virtual clothing in costume design can build digitalization of future fashion industry through convergence with digital fashion design planning and production process in fandemic environment and strengthen online platform distribution. In a business environment that continues to innovate to enhance work efficiency by introducing an Untouch fashion production system, the use of 3D virtual clothing technology can increase the efficiency of sustainable management through 3D sample production, online fitting, modification, and final critic processes to reduce the time and cost of human and physical resources and review.

• Journal of Internet of Things and Convergence
• /
• v.6 no.4
• /
• pp.59-64
• /
• 2020

Recently, many difficulties have been faced in all parts of the world due to the impact of COVID-19. Personally, household income is decreasing sharply as many jobs disappear, and economically, many SMEs are increasingly going bankrupt. It is known that this phenomenon is highly likely to continue for the time being. In such a situation, the smart factory support project provides opportunities for difficult SMEs to improve productivity and change the corporate structure. In this study, the current status of smart factory promotion was examined, and problems occurring in the process of promoting smart factory support projects were identified. The improvement plans were derived so that more efficient projects could be promoted in the future.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.1
• /
• pp.64-69
• /
• 2022

Commercialization of public technology is the transfer of government-led scientific and technological innovation and R&D results to the private sector, and is recognized as a key achievement driving economic growth. Therefore, in order to activate technology transfer, various machine learning methods are being studied to identify success factors or to match public technology with high commercialization potential and demanding companies. However, public technology commercialization data is in the form of a table and has a problem that machine learning performance is not high because it is in an imbalanced state with a large difference in success-failure ratio. In this paper, we present a method of utilizing CTGAN to resolve imbalances in public technology data in tabular form. In addition, to verify the effectiveness of the proposed method, a comparative experiment with SMOTE, a statistical approach, was performed using actual public technology commercialization data. In many experimental cases, it was confirmed that CTGAN reliably predicts public technology commercialization success cases.

• Land and Housing Review
• /
• v.13 no.2
• /
• pp.125-139
• /
• 2022

For construction companies to become competitive innovative, cost management as well as process improvement are required. Activity-based costing (ABC), which uses cost information to support long-term decision-making, is a tool that enhances a company's competitiveness. In this study, we compare and analyze tradition-based costing (TBC) and ABC to confirm the adequacy of performance-based costing. In addition, we will empirically examine the relationship between the impact of the reward system using ABC on employee satisfaction and involvement. In research results, the influence of the reward system on employee involvement appeared in the order of intrinsic reward (𝛽 = 0.338) and extrinsic reward (𝛽 = 0.308). In addition, the reward system showed positive (+) effects on employee satisfaction, with influence appearing in the order of intrinsic reward (𝛽 = 0.360) and extrinsic reward (𝛽 = 0.337). And employee satisfaction (𝛽 = 0.225) had a positive effect on involvement. We were able to confirm that it is necessary to build a reward system consisting of intrinsic and extrinsic rewards to increase employee satisfaction and involvement.

• Journal of Korea Society of Industrial Information Systems
• /
• v.14 no.3
• /
• pp.58-75
• /
• 2009

As practicalization and commercialization of the technologies invented from the national R&D(Research & Development) project has been emerging as an important issue, the need for a tool for R&D project management has been increased. Technology Readiness Levels model(TRL) has currently been used for R&D project management because it provides distinctive definition of the nine levels in the progress of technology development starting from the basic research level to the utilization level. However, it is difficult to adopt the model for a large-scale national R&D project in which multiple research projects are involved simultaneously. In addition, TRL demands evaluation of research projects done by relevant experts and offers no specific measures determining the level of technology development. This study uses Delphi method to develop the measurement system helping to determine technology readiness levels for the technologies invented in a large scale national R&D project. The proposed model includes definition and measurement scles for each level in TRL.

• Journal of Korea Society of Industrial Information Systems
• /
• v.14 no.1
• /
• pp.43-55
• /
• 2009

We consider a Direct Input Output Manufacturing System(DIOMS) which has a number of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the SIR machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this paper, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.546-549
• /
• 2022

In recent years, to prevent the increase in accidents at industrial sites, various innovative technologies from the 4th industrial era have been incorporated into the construction administration to promote the advancement of safety management. As a result, smart safety management systems using intelligent monitoring that prevent and manage risks in industrial sites in real time are attracting attention. Smart safety management systems provide users with real-time, remote monitoring of factors such as noise, gas concentration fine dust concentration, building material quality, building tilt, and RFID-based worker access through sensors located everywhere. This paper presents a method for collecting and monitoring various data for smart safety management systems via Zigbee communication using Raspberry Pi.