• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.193-202
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• 2021

The article is devoted to current issues of the development of e-commerce, which is gaining more importance in the conditions of widespread quarantine restrictions. As a result, of the research the importance of digitalization as a driver of economic development is substantiated and the main business models of e-commerce and their modifications are examined. The peculiarities of e-commerce in the context of digital economy were analyzed and their current state was established. Identified the main trends in the development of e-commerce at the current stage, which allowed to identify problem areas that require further study and evaluation. Presented the results of the market research of decorative cosmetics, based on which the summarized set of problems that affect the online sales in this segment of the market.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.297-303
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• 2022

The main purpose of the study is to determine the main aspects of the problem of socio-economic development in the conditions of the digital economy. The post-industrial era is characterized by the development of the electronic environment and the transition to an information civilization. In this regard, the developed countries of the world pay considerable attention to the development of the digital economy. However, there are a significant number of problems associated with this process. The country cannot be successful in the development of the digital economy in the absence of the necessary legal framework, an economic development strategy based on digital technologies. The research methodology involves the use of several theoretical methods for analyzing and synthesizing information. As a result of the study, the key problems of socio-economic development in the digital economy were characterized.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.201-206
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• 2022

The main purpose of the study is to analyze the features of innovation and project management in the system of improving the performance of personnel as a factor in ensuring competitiveness and investment security. For the successful operation of enterprises, regardless of their form of ownership and field of activity, in order to carry out effective activities, they turn to innovative methods related to the formation of the potential of the workforce, and increasing the level of education and qualifications of staff and establishing their potential ability to make independent decisions. Based on the results of the study, the key features of innovation and project management in the system of improving the performance of personnel as a factor in ensuring competitiveness and investment security are characterized.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.164-172
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• 2023

Sharing power data between electrical power grids is crucial in energy management. The multi-agent approach has been applied in various applications to improve the development of complex systems by making them both independent and collaborative. The smart grid is one of the most intricate systems that requires a higher level of independence, reliability, protection, and adaptability to user requests. In this paper, a multi-agent system is utilized to share knowledge and tackle challenges in smart grids. The shared information is used to make decisions that aid in power distribution management within the grid and with other networks. The proposed multi-agent mechanism improves the reliability of the power system by providing the necessary information at critical times. The results indicate that the multi-agent system operates efficiently and promptly, making it a highly promising candidate for smart grid management.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.1
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• pp.105-115
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• 2013

The Korean government amended the Environmental Technology and Industry Support Act to foster the environment industry and support the advancement of domestic environmental companies into overseas markets. The amended act reflects changes in the government's policies on environment related issues. This paper uses outcomes of research conducted on environmental policies in foreign countries and the current status of the domestic environment industry to present long-term strategic plans and measures to support the expansion of environmental companies into the global markets and to vitalize the environment industry at home. The suggestions for assisting domestic companies in making inroads into overseas markets are as follows: building up and expanding cooperative network; fostering promising companies and exports by making the right choices and focuses; diversification of export markets and strengthening supports for development of new customers; promoting supports for winning overseas projects; and developing cooperative projects to respond to climate change in developing countries using the Global Climate Fund (GCF).

• International conference on construction engineering and project management
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• 2020.12a
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• pp.381-386
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• 2020

Global construction and engineering consulting (E&C) firms are actively seeking entry into overseas markets based on loan projects from multilateral development banks to provide a basis for entry into overseas markets and sustainable growth. Bids on these projects are competitive between global top firms in terms of the technical level and price due to the limited number of projects; thus, developing a successful partnership to complement competence has become an essential element to win bids. In this regard, many studies have analyzed enterprises through characteristic analyses or the derivation of influential factors from the past social networks based on social network analysis (SNA). However, few studies have been conducted to reflect the process of changes to analyze collaborative relationships. Thus, this study aims to identify dynamic changes in past social networks and develop a model that can predict changes in the relationships between E&C firms based on similarities or differences between firms, presenting a methodology to target firms for appropriate collaboration. The analysis results demonstrate that the sensitivity of the developed prediction model was 70.26%, which could accurately predict 163 out of 232 actual cooperative cases.

• The Journal of Fisheries Business Administration
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• v.31 no.1
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• pp.73-93
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• 2000

This study analyzed and mutually compared the fishery manpower problems in Northeast Asia region including Korea, China, Japan by fishery industry structure, fishery education, fishery manpower and presented fishery cooperative schemes of Northeast Asia. In case of fishery manpower problems, China is still in a better situation whereas Korea and Japan have a hard time of a labor shortage. Korean companies have employed foreign crews to find a way out of the difficulties and the foreign crew rate is growing but the problem is that the reduction of Korean crew could deteriorate the safety of vessel-sailing, efficient operations, and fishery efficiency. Therefore crew management should be placed focus on improvement of working conditions and guarantee positions to foreign crew as assistants in fishery surroundings and systems. Fishery manpower problems are complementary to each nation in Northeast Asia. In consideration of this fact, fishery manpower management needs the mutual fishery manpower and information exchange and for the sake of it, the most urgent task is to build up the international fishery cooperative network through establishing fishery-related information systems of Northeast Asia.

• International Journal of Control, Automation, and Systems
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• v.6 no.5
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• pp.722-730
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• 2008

This paper proposes two novel algorithms enabling mobile robots to cooperate with each other in a reliability-based system and a time-critical system. In the reliability-based cooperative system, the concepts of a mobile ad hoc network (MANET) and an object entropy are adopted in order to coordinate a specific task. A logical robot group is created based on the exchange of request and reply messages in a robot communication group whose organization depends on transmission range. In the time-critical cooperative system, relational entropy is used to define the relationship between mobile robots. A group leader is selected based on optimizing power consumption. The proposed algorithm has been verified based on the computer-based simulation and soccer robot experiment. The performance metrics are defined. The metrics include the number of messages needed to make a logical robot group and to obtain the relationship of robots and the power consumption to select a group leader. They are verified by simulation and experiment.

• Ocean and Polar Research
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• v.38 no.3
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• pp.209-224
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• 2016

The purpose of this study is to analyze research activities related to Antarctic science through a bibliographic study and to understand and evaluate the implications. This study is based on 78,445 articles which were retrieved from the Science Citation Index(SCI) database during the period 1998-2015. Through a quantitative analysis and a Social Network Analysis, we made several findings and drew out the implications. First, many countries, in general, have increased multi-national research cooperation in order to enhance research productivity. However, Korea's cooperative research activity is below the average level. Second, considering the 4 centrality indexes, which are derived from the SNA, Korea had a lower score in terms of centrality indexes. Based on these findings, Korea should formulate a more dynamic or proactive strategy in order to enhance its participation in international research cooperation efforts. Korea, the 10th country to build two or more research bases in Antarctica, should make greater efforts to bring the appropriate level of the phase.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.149-155
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• 2020

Air pollution is a problem of environmental health risk in big cities. Recently, researchers have proposed using various artificial intelligence technologies to predict air pollution. The proposed model is Cooperative of Artificial Neural Network (ANN) and Fuzzy Inference System (FIS), to predict air pollution of Korean cities using Python. Data air pollutant variables were collected and the Air Korean Web site air quality index was downloaded. This paper's aim was to predict on the health risks and the very unhealthy values of air pollution. We have predicted the air pollution of the environment based on the air quality index. According to the results of the experiment, our model was able to predict a very unhealthy value.