• Proceedings of the Optical Society of Korea Conference
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• 2002.11a
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• pp.4-5
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• 2002

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.325-343
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• 2020

• Journal of Information Technology Services
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• v.19 no.4
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.307-315
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• 2020

In this study, we investigate child-care teachers' perceptions of emerging technologies, with a particular focus on fields connected to the Fourth Industrial Revolution. More specifically, we explore how satisfied child-care teachers are with existing educational tools, whether they are interested in or willing to use the latest technology within child care, and their perceived likelihood of adopting these new technologies within child care sites. A total of 181 directors and teachers working at child care institutions in Seoul and Gyeonggi Province participated in the survey. The findings are as follows: firstly, child-care teachers were moderately satisfied with current teaching methods and their effects; secondly, child-care teachers were not especially interested in emerging technologies; thirdly, although interest in applying the latest technology to child care sites was moderately high, refusal to use this technology was also somewhat high; fourthly, many agreed that this technology would eventually become common. This study is expected to provide useful information to those planning to introduce the latest technology to child care sites and basic data to improve teacher training.

• Information Display
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• v.18 no.3
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• pp.3-12
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• 2017

In the recent years, significant advances have been made in the development of small form-factor, low power, and low cost 3D-sensing devices based on depth-imaging technologies with real-time performance. This has led to the advent of devices and machines that are able to sense and understand the world, navigate in the environment, and interact naturally with their human users. Human-computer interactions based on touch sensing and speech recognition have already become mainstream, and the rapid developments in 3D sensing is paving the path towards the next level of machine intelligence and interactions. This paper discusses the recent developments in real-time 3D sensing technologies and their emerging system application.

• Korean Management Science Review
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• v.23 no.2
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• pp.59-74
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• 2006

In this paper, we investigated economic viability of UCA (Ubiquitous Contents Access) technologies from user adoption perspective. UCA technologies are expected to 9et embedded into media and telecom merging services. Embracing new technologies such as UCA technologies, forged through an industry convergence, means opting for a technological innovation that will have technological as well as economic and strategic implications. As such, we adopted user perspective innovation adoption theories to explore key antecedents affecting consumer acceptance of these emerging technologies. Subsequently. using QFD (Quality Function Deployment) method, the impacts of UCA technical functions on user's perceived value enhancements are estimated. The QFD analysis result indicates that the new UCA service technologies could achieve about 42% enhancement on user perceived adoption intention compared to existing digital contents service technologies. The proposed analysis framework and findings suggests significant insights for further research.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.307-315
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• 2017

This study aims to propose a methodology for future strategies of the Korean petrochemical industry. Instead of using static models or trade related statistical analysis, we derived emerging issues of the Korean petrochemical industry through survey in accordance with the STEPPER analysis. The participants of the survey were limited to leading experts of the field, such as businessmen, researchers and professors. Also, I observed whether the current driving forces are suitable in analyzing the future. Furthermore, emerging trends and emerging issues as far as 2040 were also extracted through horizon scanning and expert interviews. Through this study, three factors, which are the global oil prices, economic prospects, and core material development, have been confirmed. In the future, I believe that not only petrochemical industry, but also other industries such as steel, autos, shipbuilding and so on, can be studied for future scenarios and strategies as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2118-2135
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• 2012

With the rapid development of heterogeneous emerging wireless technologies and numerous types of mobile devices, the need to support robust mobile video streaming based on the seamless handover in Future Internet is growing. To support the seamless handover, several IP-based mobility management protocols such as Mobile IPv6 (MIPv6), fast handover for the MIPv6 (FMIPv6), Hierarchical MIPv6 (HMIPv6) and Proxy Mobile IPv6 (PMIPv6) were developed. However, MIPv6 depreciates the Quality-of-Service (QoS) and FMIPv6 is not robust for the video services in heterogeneous emerging wireless networks when the Mobile Node (MN) may move to another visited network in contrast with its anticipation. In Future Internet, the possibility of mobile video service failure is more increased because mobile users consisting of multiple wireless network interfaces (WNICs) can frequently change the access networks according to their mobility in heterogeneous wireless access networks such as 3Generation (3G), Wireless Fidelity (Wi-Fi), Worldwide Interoperability for Microwave Access (WiMax) and Bluetooth co-existed. And in this environment, seamless mobility is coupled according to user preferences, enabling mobile users to be "Always Best Connected" (ABC) so that Quality of Experience is optimised and maintained. Even though HMIPv6 and PMIPv6 are proposed for the location management, handover latency enhancement, they still have limit of local mobility region. In this paper, we propose a robust mobile video streaming in Heterogeneous Emerging Wireless Systems. In the proposed scheme, the MN selects the best-according to an appropriate metric-wireless technology for a robust video streaming service among all wireless technologies by reducing the handover latency and initiation time when handover may fail. Through performance evaluation, we show that our scheme provides more robust mechanism than other schemes.

• Journal of Information Management
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• v.38 no.4
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• pp.1-21
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• 2007

Patent data have both properties of technological and industrial information. They satisfy explicit requirements for originality, technological validity, and commercial value. They comprise all fields of innovation for a long period of time. They show their own qualitative importance by forward citation of them. In this paper, we attempt to establish and apply an analytical model and process based on informetric approach using patent information in order to predict emerging technologies which have the possibility of industrial development in the future.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.269-274
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• 2021

Businesses and manufacturing have benefited from the evolution of digital information technology. The introduction of e-commerce has changed the way companies are conducted, and the manufacturing industry is using emerging technologies to automate and synchronize production processes in order to increase productivity and profitability. The results of the study show that incorporating the internet into e-commerce has transformed the process, making it one of the most advanced and high users of digital technology. E-commerce has advanced by leaps and bounds, allowing products and services to flow electronically with minimal delays. Manufacturing has benefited from the implementation of IoT, which has increased the productivity of production processes and is gradually becoming a major beneficiary of modern computer technology.