• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.90-99
• /
• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.3
• /
• pp.376-399
• /
• 2008

Science and technology (S&T) is one of the most important elements in a nation's competitiveness. In an effort to strengthen their national competitiveness, all countries are focusing on upgrading the level of eir S&T. With these factors in mind, Korea has increased its support of national research and development (R&D). In recent years, this added support has resulted in an increased interest in the effectiveness of R&D. We have made continuous efforts to enhance the accountability and effectiveness of R&D by strengthening performance evaluation and considering R&D evaluation results during the budget review (appropriation) process. In order to change to a performance based system, we need to develop objective and scientific indicators to measure and evaluate the quality of the research performance of R&D programs. One of the primary research outcomes is publications. The impact factor of publications is widely used to evaluate overall journal quality and the quality of the papers published therein. However, the use of impact factors has been criticised because they can vary greatly when works from different subject areas are compared. In order to overcome this limitation, we have developed three kinds of qualitative indicators, which are functions of the impact factor. Two of these qualitative indicators, Modified Rank Normalized Impact Factor and Ordinal Rank Normalized Impact Factor, are based on order statistics (rank) for all journals from a specific specialty. The third qualitative indicator, Relative Field Impact Factor, uses the average impact factor of all journals within a subject category. We also suggest a quantitative indicator, Percentage of Contribution. In this study, we suggest 4 indicators and use them to evaluate the performance of outcomes from three R&D programs supported by the Ministry of Education, Science & Technology. We also perform a simulation study to verify the effectiveness of the proposed indicators. It can be shown that the proposed Ordinal Rank Normalized Impact Factor is the most reliable and effective indicator for comparing research performance across subject categories. However, we recommend using previous indicators in combination with the proposed indicators in this study for the research evaluation of R&D programs.

• Journal of Environmental Impact Assessment
• /
• v.7 no.2
• /
• pp.113-125
• /
• 1998

The amount of mercury emitted from an incinerator depends on the properties of waste, combustion condition, and control devices. Mercury concentration in air proportionates to the increase of incinerator installation. The purpose of this study is to provide a method for determination of mercury emission factor which can predict the amount of mercury emitted from each incinerator specifically. Case study was performed for N municipal waste incinerator. Based on the method presented in this paper, we obtained mercury emission factor as 1.85~1.95 g Hg/t at N Municipal Waste Incinerator and this result was regarded as reasonable when compared with existing mercury emission factor in reference cases. Fluorescent lamps turned out to be the most important source(44.4%) of mercury in municipal waste and its amount will tend to increase, while batteries become less significant. In addition, medical waste is one of the major source of mercury.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.6
• /
• pp.774-779
• /
• 2012

Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

• The Journal of the Korea Contents Association
• /
• v.22 no.5
• /
• pp.367-382
• /
• 2022

This study examined the impact of smart factory's quality factors on the intention to accept Advance Smart Factory(ASF) by mediating Perceived Value(PV) and Smart Factor Performance(SFP) of domestic SMEs that had introduced smart factor. As a result, First, Information Quality(IQ) and Service Quality(SQ) had a significant positive impact on Perceived Value(PV). Second, System Quality(SysQ), IQ, and SQ had a significant positive impact on SFP. Third, PV had a significant positive impact on intention to ASF, and PV and SFP had a significant positive impact on the intention to accept ASP. Also, PV had a mediating effect between SysQ, IS and Perfromance, and PV and Performance had a moderation between SQ and ASF. These results could provide one implication to SMEs that are taking into account to improve their smart factor to be advanced.

• Management & Information Systems Review
• /
• v.20
• /
• pp.33-60
• /
• 2007

This study is a study on the impact factor of the sustainable giving behavior on the non-profit organization. According the research by non-profit organization, the main factors of most individual donators was given by stimulating sympathy. Also, the donators of the non-profit organization wanted to get a certain convenience and benefit through their donation under the reciprocity. The present study is an attempt to develop a more through understanding of the potential and actual impact factors of the sustainable giving behavior on the non-profit organization. Expecially, it also consists of an effort to assess the impact factors of the sustainable giving behavior on the non-profit organization.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.12
• /
• pp.301-306
• /
• 2016

In bridge performance assessments, a new load carrying capacity evaluation model of simple bridges was proposed, which is based on the developed simple support impact factor spectrum. In this paper, a conservative assumption that the inner span with the both ends fixed boundary condition is ideal for applying the impact factor response spectrum for continuous bridges. The impact factor response spectrum has been proposed based on this assumption. The response spectrum by comparing the numerical analysis result and actual measurement data verified the applicability. The analysis was loading the moving load of DB-24 in a six-span continuous bridge, which was the same as the actual measurement data, the dynamic response was measured in the fourth span. The frequency of the bridge was obtained by FFT on the acceleration response and the span-frequency of sample bridge was calculated by the frequency. The impact factor of the sample bridge was determined by applying the span-frequency of the bridge to the proposed response spectrum; it was similar to the result of comparing the actual measured impact factor. Therefore, the method using the impact factor response spectrum based on the frequency response of both ends-fixed beam was found to be applicable to an actual continuous bridge.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.20 no.9
• /
• pp.78-83
• /
• 2006

A new measure, the distributed generation impact factor (DGIF), is used for evaluating the impact of newly introduced distributed generators on a networked distribution or a transmission system. Distribution systems are normally operated in a radial structure. But the introduction of distributed generation needs load flow calculation to analyze the networked system. In the developed framework, the potential share of every generation bus in each line flow of a networked system can be directly evaluated. The developed index does not require the solution of power flow equations to evaluate the effect of the distributed generation. The main advantage of the developed method lies in its capability of considering simultaneous outputs of multiple generation sites.

• Asia-Pacific Journal of Business
• /
• v.6 no.2
• /
• pp.63-79
• /
• 2015

The purpose of this study is to examine the effects of transformational leadership on job satisfaction and to examine the effects of transactional leadership on job satisfaction. This study tried to verify the facial feedback hypothesis in causal relations of charisma, intellectual stimulation, individualized consideration, contingent reward, management by exception, job satisfaction. The self-administerd survey was undertaken against 380 respondents who soldier working in Daegu. A total of 375 responses were collected. Excluding missing data, 337 usable data were used for analysis. Results of this study are as follows. First, it is found that charisma factor is positively impact on job satisfaction. Second, it is found that individualized consideration factor is positively impact on job satisfaction. Third, it is found that contingent reward factor is positively impact on job satisfaction. Fourth, it is found that management by exception is positively impact on job satisfaction. The theoretical implication and practical implication for the army and government are discussed. The limitations are also mentioned.

• Journal of Korean Neurosurgical Society
• /
• v.40 no.4
• /
• pp.300-303
• /
• 2006

The authority and reputation of a medical journal is based on the number of received citations. Korean Medical Citation Index [KoMCI] provides information about citations of Korean medical journals since 2002. All six issues of KoMCI [from 2000 to 2005] were used for analysis. Citations, impact factor, and their changes were evaluated. We compared the data of Journal of Korean Neurosurgical Society[JKNS] with other Korean medical journals. The impact factor[IF] of 2005 maintained increased value since 2004, although the impact factor excluding self citation[ZIF] returned previous low value. Improvement in proportion of Korean citations and in proportions of non-self received citations were encouraging changes. Although there were some improvements, the status of JKNS with respect to ZIF is still behind other Korean medical journals selected for comparison. Improvement of the status of JKNS by aid of KoMCI and enhanced reputation of KoMCI by its positive influence on JKNS or other Korean medical journals will be beneficial to members and medical societies of Korea.