• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.227-233
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• 2016

Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.

• Nuclear Engineering and Technology
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• v.55 no.8
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• pp.2844-2853
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• 2023

A sophisticated Bayesian multilevel model for estimating group bias was developed to improve the utility of the ASTM E900-15 embrittlement trend curve (ETC) to assess the conditions of nuclear power plants (NPPs). For multilevel model development, the Baseline 22 surveillance dataset was basically classified into groups based on the NPP name, product form, and notch orientation. By including the notch direction in the grouping criteria, the developed model could account for TTS differences among NPP groups with different notch orientations, which have not been considered in previous ETCs. The parameters of the multilevel model and biases of the NPP groups were calculated using the Markov Chain Monte Carlo method. As the number of data points within a group increased, the group bias approached the mean residual, resulting in reduced credible intervals of the mean, and vice versa. Even when the number of surveillance test data points was less than three, the multilevel model could estimate appropriate biases without overfitting. The model also allowed for a quantitative estimate of the changes in the bias and prediction interval that occurred as a result of adding more surveillance test data. The biases estimated through the multilevel model significantly improved the performance of E900-15.

• Ocean and Polar Research
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• v.28 no.4
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• pp.415-423
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• 2006

Interannual variation and long-term trends of coastal sea surface temperature (SST) in Korea were investigated by analyzing 27 coastal SST time series from 1969 to 2004. Long-term linear increasing trend was remarkable with the rate over $0.02^{\circ}C/year$ at almost all the stations. The slope of long-term linear trend was larger at the stations along the eastern coast than in the western and southern regions. It was also noticeable that there was a common tendency of interannual variability with the period of 3-5 years at most of the stations. SST was lower in the 1970's and early 1980's while it was higher in the 1990's and early 2000's after the increase in the late 1980's. The pattern of the interannual variability of SST was similar to that of air temperature. Increasing trend of minimum SST in winter was obvious at most stations na it was larger along the eastern coast, while the linear trend of maximum SST in summer was less definite. Therefore, the decreasing tendency of annual amplitude was mainly due to the increasing tendency of SST in winter.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.9-16
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• 2018

In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.133-150
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• 2007

In this paper we investigate a trend analysis service using Semantic Web technology in a news domain. The trend analysis service can provide more intelligent answers rather than the answer given In current news search engines since it can analyze the passage of time and the relation among news. In order to provide the trend analysis service, the capability of temporal reasoning is required, but the Semantic Web language such as OWL does not support the reasoning capability. Therefore, we propose a language TL-OWL(Temporal Web Ontology Language) extending OWL with the temporal reasoning.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.233-236
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• 2004

With the internet(World Wide Web) widespread among people after 1995, Information Communication Network, which is basic structure of the internet, is rapidly changing into fiber optics communication. The information conveyed through the internet is being diversified - from simple information based on text to bulky multimedia information such as auido & video data. So the demand for higher speed, hish storage Router is on the crease. This research aims to analyze the general trend of the patent by systematical, multilateral and segmented analysis of the technology's flow and trend, the present technological position of status and the distribution map of the technology by country, technology area using chart and graph.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.14 no.2
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• pp.73-79
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• 2008

Compared to the 2007 packaging contest winners' work of Korea and Japan, their packaging trends have been studied in this study. Environmental-friendly packaging have been turned out the main trend at the same time in both Korea and Japan markets in this comparative research. In applied technology aspects, there was a remarkable distinction compared to packaging technology of both countries; Korea's technology was evaluated out to be lagged behind Japan by three or four years in this study. The road map for future packaging development plan shall be suggested by following comparative studies from the annual packaging contests which are supposed to be held in many developed countries.

• Journal of Technology Innovation
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• v.19 no.1
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• pp.177-201
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• 2011

This study is trying to estimate the effect of survey of prior art on the technological performance of national R&D program, with the purpose to enhance understanding on the relationship between utilization of patent information and R&D activities. Patent and Technology Trend Research, one of the survey of prior art which gives the information about existing technology and patent trend to the project team has been carried out since 2005. In this paper, effects which Patent and Technology Trend Research has on the technological performance of national R&D projects are estimated by using multiple regression model considering input factors, characteristics of an agent and supplier of money. The result is that Patent and Technology Trend Research has positive and significant effect on the grant and application of domestic and foreign patent. This result can give an hint that the utilization of patent information make the R&D process efficient and effective.

• Journal of Korea Technology Innovation Society
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• v.4 no.2
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• pp.172-181
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• 2001

This is a paper to understand the economic effects of the measurement standards by translog cost function. The data, as of the end of 1998, are from a survey of 514 firms in Korean industry. The analysis is compared to that of 1992 data analysis to check the trend. There are a little differences on the estimated coefficients, but there is no basic difference on trend of economic effects. The Investment on measurement standards have been contributed positively on the major managerial indicators such as productivity, profit, and so on.

• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.86-92
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• 2017

This paper analyzed the trend of each area of satellite industry based on its recent revenue status and considered future development of satellite industry and satellite technology which can be anticipated taking into account the trend of satellite industry.