• Journal of Digital Convergence
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• v.12 no.2
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• pp.571-576
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• 2014

Convergence refers to create a new one by combining the different elements of two or more. Currently convergence has expanded academy, industry and education from the concept of combining heterogeneous inter-technology. The most important key to the convergence in success is to derive ideas for problem solving. However, the idea derivation is done in companies to hire professional people for letting the innovation of corporate planning and new product in most cases. It is hard to get the expected results of convergence's variety. In this research, the creation of the general public for their ideas is main focus on developing a curriculum. Development models are: 1) strengthening the internal capacity for creative thinking, 2) curriculum meets the consumer 3) an understanding of convergence technology 4) creative ideas and planning ability is composed of four concepts. It is expected that convergence man power having the creative idea is trained in case of applying the proposed education model to the convergence education.

• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.425-435
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• 2020

Official development assistance (ODA) projects are conducted under the auspices of donor countries and on the principle of time-limited implementation for economic development and welfare improvement in a host country. Exit strategies on how to end official assistance are therefore crucial. Sudden economic recession in a donor country could lead to the suspension of ODA projects, which would affect diplomatic relations and project outcomes. Further, exit strategies can help continue the original project and create links with other ODA projects. This study shows how to employ exit strategies in the Korea-Mongolia Greenbelt Plantation Project and has implications for sustainability of development assistance. Exist strategies were not taken into consideration initially. In the course of implementation and management transfer upon the completion of plantation, various facets were considered later on in developing exit strategies. An ideal exit strategy is to reach the extent to which a host country no longer needs official assistance or has capacity of project implementation on its own. A year-by-year transfer of planted areas can be a phase-over strategy. The Korea Forest Service fulfilled transparent cooperation with Mongolian local governments, established appropriate arrangements with stakeholders, secured institutional and financial foundation for follow-up management by a host country, and realized predictability, responsibility, and sustainability. As a local institution, the plantation technology management center has been established for follow-up activities such as the introduction of agro-forestry. When the Korea Forest Service designed an urban forest project as an exit strategy, sustainability was ensured, which has implications in implementing other ODA projects.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.59-69
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• 2022

The purpose of this study is to suggest improvement directions by analyzing the meaning of the 2022 revised curriculum. Research methods include literature research, surveys, and interviews. The conclusion is as follows. First, The background of the promotion has been revised to cultivate the competencies necessary for the future society and to strengthen the learner-tailored education. Second, what characterizes the 2022 revised curriculum is that it is being created in collaboration with people as a future-oriented curriculum for the first time in history. Third, the implementation of the 2022 revised curriculum is being directed towards individuality and diversity, decentralization and autonomy, digitally based education, and public performance and accountability. Fourth, the principal contents are curriculum innovation in response to future changes, cultivating community values and capacity building for learners, strengthening education for elementary, middle, and high school students to develop digital and AI literacy, and strengthening the curriculum for all.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.25-38
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• 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 Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.125-135
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• 2016

It is well known that the encouraging startups play a major role for innovation in an economy. Thus, venture capital are indispensable for the growth of startups. The literature on investment performance of venture capital reveals that the investment strategies depend largely on the characteristics and capabilities of venture capital. Therefore, investment capability of venture capital is important. There are various investing roles that can be identified by venture capital when determining what kind of startup to invest in, whom to invest with, how to invest, how to post-investment management after investment, and so on. This research was conducted to understand the effect of investment capabilities of venture capital on investment performance. To do so, we surveyed 70 venture businesses in the Seoul and Gyeonggido region for an empirical analysis. The empirical results of this paper are summarized as follows. First, the financial performance of venture firms is influenced by the financial capacity of venture capitalists, and investment evaluation of venture capital. Second, the business performance of venture firms is influenced by the marketing support consulting of venture capital, and investment evaluation of venture capital.

• Journal of the Korean association of regional geographers
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• v.11 no.1
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• pp.71-82
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• 2005

Recently, the Korean Government has announced a plan of public sector relocation to deal with a severe overconcentration of economic functions in the capital region and to promote more balanced regional economic development This study analyses the case of the French public sector relocation policy and suggests its implications. The policy in france is evaluated to be successful to encourage more balanced regional growth, with reference to the growth of population, job creation and scientific-technological infrastructure out of the capital region. It has also contributed to the growth of regional innovation capacity which becomes to be a critical factor for the regional development. As the policy of public sector relocation can be accepted to be an effective tools for balanced regional development in Korea as well, Government has to make an every effort to implement the policy in a strategic way.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.4
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• pp.23-30
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• 2000

Cogeneration systems are seen as a significant innovation for dispersed energy generation since they are both environmentally friendly and has comparatively high degrees of efficiency. It is especially suited for the decentralized provision of electricity and heat. However, it causes operational problems such as voltage regulation, voltage variation, protection and safety. Especially, it is expected that the interconnection/disconnection operation of cogeneration system has an effect on distribution voltage regulation and variation. Recently, with the increased use of customer-owned computers and other sensitive electronic equipment, electric power quality has become an important concerns. Therefore, the voltage quality problems with cogeneration system should be investigated because the voltage quality is an important part of electrical power quality. In this paper, the momentary voltage dips associated with the interconnection/disconnection operation of cogeneration system are analyzed, including restraint solutions at the customer level. In addition, the unit capacity of cogeneration systems per feeder are evaluated from the view point of momentary voltage variations. The results of this paper are useful analysis data for interconnection standards/guidelines of cogeneration systems and dispersed generation (DG)

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.1-6
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• 2020

Information System is influenced by the innovation of new IT. Therefore, IS should response to external environment's changes quickly. Particularly, resilience should be considered in barriers of IS. This study suggests a new information system evaluation model in which resilience is added to the existing factors of Delone and Mclean. Then the effect of resilience is evaluated through the DEA(Data Envelopment Analysis) based on a survey targeting 115 users of a mid-sized manufacturing company. The results show that the effect of resilience is stronger than any other factors in the previous researches. We, thus, suggest that the resilience should be included as an evaluation factor of the ISO27001 information security standard in order to enhance the absorptive capacity of the information system.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.226-234
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• 2024

The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.