• Journal of Environmental Health Sciences
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• v.48 no.5
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• pp.255-265
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• 2022

Background: Research in environmental health (EH) is of crucial strategic importance for contemporary society. It is becoming even more critical in light of the increasingly rapid pace of environmental changes, opportunities, and threats. Objectives: This study aimed to identify trends and the prospective of environmental health research using SWOT analysis. Methods: The trends in environmental health research were reviewed in previous studies and reports. Reviewed manuscripts were searched for using the keywords of 'environmental health' and 'environmental hygiene' in the KCI (Korean Journal of Citation Index), KISS (Korean Academic Information), PubMed, and Google Scholar. Results: It is essential to center the EH research agenda around key priorities focusing on technological innovation, job creation, and the increasingly prominent role of the private sector. Given the rapidly evolving global sustainability agenda, greater clarity on the ever-increasing sources of complexity and growing expectations of the public might be needed. This requires the identification of criteria to identify EH research priorities with the ultimate goal of maximizing societal benefit. Public health relevance, such as extent and severity of health impact, level of exposure, and inequalities of effects, could be included. Conclusions: Considering the recent interest in and importance of environmental health, a comprehensive approach to environmental health research should be required through the application of the latest science and technology, citizen participation, and environmental health surveillance systems.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.2
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• pp.54-63
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• 2022

Among the various industrial robots, palletizing robots have received particular attention because of their higher productivity in accordance with technological progress. When designing a palletizing robot, the main components, such as the servo motors and reducers, should be properly selected to ensure its performance. In this study, a practical method for selecting the motors and reducers of a robot was proposed by performing the dynamic analysis of rigid-flexible multibody systems using ANSYS and ADAMS. In the first step, the links and frames were selected based on the structural analysis results obtained from ANSYS. Subsequently, a modal neutral file (MNF) with information on the flexible body was generated from the links and frames using modal analysis through ANSYS and APDL commands. Through a dynamic analysis of the flexible bodies, the specifications of the major components were finally determined by considering the required torque and power. To verify the effectiveness of the proposed method, the analysis results were compared with those of a rigid-body model. The comparison showed that rigid-flexible multibody dynamic analysis is much more useful than rigid body analysis, particularly for movements heavily influenced by gravity.

• Korea Trade Review
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• v.46 no.5
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• pp.65-81
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• 2021

The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.612-618
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• 2019

In the unmanned vehicle industry, the market is exploding due to the rapid development of public and private demands along with the technological development of the 4th Industrial Revolution. In addition, unmanned mobiles are being used for communication services. In this paper, we analyzed the communication performance of unmanned aerial vehicle according to the characteristics of Doppler frequency. The Doppler frequency was calculated using the geometric model of the unmanned aerial vehicle, and the Doppler frequency of 10km, 30km, 300km, 1000km per hour and the BER performance by AWGN were measured by considering the unmanned high speed unmanned vehicle based on the position of the controller. The Doppler frequency model uses a Dent model and adds additive white Gaussian noise (AWGN) to check the bit errors of the transmitter and receiver. Low speed unmanned vehicles generally exhibited a BER performance of 0.2, while high speed unmanned vehicles generally exhibited a BER performance of 0.06. As the frequency band increases at the same speed, the BER performance increases, and when the speed increases in the same frequency band, the BER performance decreases. This is confirmed by the simulation results to predict theoretically predictable BER performance. In the frequency bands of 2.6 GHz, 5 GHz, and 28 GHz, the BER characteristics by Doppler frequency and the BER characteristics by controller function are verified. effect was confirmed.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.209-235
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• 2022

Starting from 2010, blockchain technology, along with the development of artificial intelligence, has been in the spotlight as the latest technology to lead the 4th industrial revolution. Furthermore, previous research regarding blockchain's technological applications has been ongoing ever since. However, few studies have been examined the standards for classifying the blockchain economic ecosystem from a capital market perspective. Our study is classified into a collection of interviews of software developers, entrepreneurs, market participants and experts who use blockchain technology to utilize the blockchain economic ecosystem from a capital market perspective for investing in stocks, and case study methodologies of blockchain economic ecosystem according to application fields of blockchain technology. Additionally, as a way that can be used in connection with equity investment in the capital market, the blockchain economic ecosystem classification methodology was established to form an investment universe consisting of global blue-chip stocks. It also helped construct an intelligent portfolio through quantitative and qualitative analysis that are based on quant and artificial intelligence strategies and evaluate its performances. Lastly, it presented a successful investment strategy according to the growth of blockchain economic ecosystem. This study not only classifies and analyzes blockchain standardization as a blockchain economic ecosystem from a capital market, rather than a technical, point of view, but also constructs a portfolio that targets global blue-chip stocks while also developing strategies to achieve superior performances. This study provides insights that are fused with global equity investment from the perspectives of investment theory and the economy. Therefore, it has practical implications that can contribute to the development of capital markets.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.82-98
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• 2023

This study investigates consumers' perceptions when customers participate in the process of innovating new products or new services essential to companies in the era of the 4th industrial revolution. Specifically, this study investigates how consumers' product evaluation varies depending on two types of innovation for a company's new product development (technology-based innovation and market-based innovation) and two customer roles (as information providers and as co-developers) participated in the development process. The research questions are as follows: As technology-based innovation and market-based innovation are different types of innovations, will consumers' product evaluation vary depending on these different types of innovation? If customers participate in the development process of a new product reflecting each innovation, how will the information that the customer participated be perceived by other consumers? In addition, this customer participation method can serve as an information provider and a co-developer, and will consumers' evaluation of new products vary depending on this role? As a result of verifying the hypothesis using an experimental method, it shows that consumers' product evaluation differs significantly depending on the role of customers who participated in the process of developing new product development process. In other words, the results indicate that the case where customers participated as market information providers in the process of developing new products is more favorable to the new product evaluation than the case where they participated as co-developers of the new products. In addition, there is an interaction effect between the type of product innovation and the role of customer participation. To be specific, when a product reflecting technological innovation is released, there is no difference in consumers' product evaluation according to the roles of two different customer participations. However, when a market-based innovation product is released, product evaluation is more favorably perceived when customers participated as information providers than they were involved in the new product development process as co-developers. This study is of theoretical significance in that it distinguishes each type of innovation and verified how other consumers' perceptions vary depending on their role when customers participate in the innovation process. Finally, limitations and future study directions are suggested along with practical implications.

• Journal of Information Management
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• v.43 no.2
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• pp.67-83
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• 2012

Patents are the sources reflecting technology development by research and development(R&D) as well as the tools to secure economic benefits in the market, so using patent information is crucial for decision making processes in formulating technology development strategies. Intellectual property(IP) portfolios including a set of patents related to products and individual technologies are the basic unit that has the economic meaning in making national policies and technology strategies. Therefore, this research develops a total of 69 measures to identify the collective characteristics for IP portfolios("characteristics index"), by incorporating the patent indexes that have been widely used and the patent indexes that developed recently, and applying the concepts to patent analysis that have been used in interdisciplinary studies including economics and library and information science. The results of this research produced a characteristics index manual which helps experts to identify characteristics of technological innovation systems from various dimensions. We expect that the characteristics indexes can be used as a supportive tool for comparative analysis among IP portfolios in the technology policy making process.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.576-592
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• 2007

We, in this study, tried to examine the influence of business environment, organization structure and information technology characteristics used on the performance of the information systems in Information and Communications Industries. The result shows that frequency of system usage and users' satisfaction are positively affected by the factors of business environment, organizational structure and information-technology. The user satisfaction of the system is affected by the frequency of system usage. Both financial performance and non-financial performance are affected by the frequency of the systems usage and user satisfaction of the system. With path analysis, we verified the overall model goodness-of-fit verified for the research model. The result shows that organization structureand technological factors are positively related to the frequency of usage and user satisfaction of the system, while the environmental factors are not. The frequency of system usage is not linked to both financial and non-financial performance. The user satisfaction of the system does not affected to the financial performance. In conclusion, the usage frequency and user satisfaction of the system are the moderating variables affecting business performances. These two variables are affected by the environment, organization structure and information technology. The Path analysis also supports the relationships among these variables.

• Cross-Cultural Studies
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• v.52
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• pp.277-312
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• 2018

First-order cybernetics during the 1940s and 1950s aimed for control of an observed system, while second-order cybernetics during the mid-1970s aspired to address the mechanism of an observing system. The former pursues an objective, subjectless, approach to a system, whereas the latter prefers a subjective, personal approach to a system. Second-order observation must be noted since a human observer is a living system that has its unique cognition. Maturana and Varela place the autopoiesis of this biological system at the core of second-order cybernetics. They contend that an autpoietic system maintains, transforms and produces itself. Technoscientific recreation of biological autopoiesis opens up to a new step in cybernetics: what I describe as third-order cybernetics. The formation of technoscientific autopoiesis overlaps with the Fourth Industrial Revolution or what Erik Brynjolfsson and Andrew McAfee call the Second Machine Age. It leads to a radical shift from human centrism to posthumanity whereby humanity is mechanized, and machinery is biologized. In two versions of the novel Demon Seed, American novelist Dean Koontz explores the significance of technoscientific autopoiesis. The 1973 version dramatizes two kinds of observers: the technophobic human observer and the technology-friendly machine observer Proteus. As the story concludes, the former dominates the latter with the result that an anthropocentric position still works. The 1997 version, however, reveals the victory of the techno-friendly narrator Proteus over the anthropocentric narrator. Losing his narrational position, the technophobic human narrator of the story disappears. In the 1997 version, Proteus becomes the subject of desire in luring divorcee Susan. He longs to flaunt his male egomaniac. His achievement of male identity is a sign of technological autopoiesis characteristic of third-order cybernetics. To display self-producing capabilities integral to the autonomy of machinery, Koontz's novel demonstrates that Proteus manipulates Susan's egg to produce a human-machine mixture. Koontz's demon child, problematically enough, implicates the future of eugenics in an era of technological autopoiesis. Proteus creates a crossbreed of humanity and machinery to engineer a perfect body and mind. He fixes incurable or intractable diseases through genetic modifications. Proteus transfers a vast amount of digital information to his offspring's brain, which enables the demon child to achieve state-of-the-art intelligence. His technological editing of human genes and consciousness leads to digital standardization through unanimous spread of the best qualities of humanity. He gathers distinguished human genes and mental status much like collecting luxury brands. Accordingly, Proteus's child-making project ultimately moves towards technologically-controlled eugenics. Pointedly, it disturbs the classical ideal of liberal humanism celebrating a human being as the master of his or her nature.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4780-4786
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• 2010

This study focuses on the creation new jobs since it is considered as the national purpose recently. As this phenomenon regarded, this study is purposed to explore the effects of social network on entrepreneurial intentions and new venture. To promote an empirical analysis, the sample survey based on 208 domestic nascent entrepreneurs are collected and multiple regression analysis and mediated regression analysis are used. The results of an empirical analysis are as follow. First, the finding shows that social network of the strong ties and the week ties positively affect on entrepreneurial intentions. The strong ties more influence on entrepreneurial intentions. On the other hand, the week ties which are based on substantial business knowledge, information, and technology more affect on entrepreneurship. Second, entrepreneurial intentions play a role in the partial mediation effect between the strong ties and entrepreneurship, and the perfect mediation effect is indicated by between the week ties and entrepreneurship. The results suggest that nascent entrepreneurs have a lack of capital during business start-up period. As this regard, they tend to achieve related entrepreneurship resources through the strong ties such as family, relatives, and friends. Moreover, it is suggested that the potential nascent entrepreneurs should be aware of necessity of technological and economical support so that it can establish various social network. Furthermore, it encourages entrepreneurial intentions, fosters entrepreneurship, and indicates the direction of entrepreneurship through practical suggestions. it is expected that moderating effect of gender on nascent entrepreneurs and non nascent entrepreneurs leads to useful results for the future.