• New & Renewable Energy
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• v.19 no.2
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• pp.40-58
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• 2023

Several offshore wind power conflicts occur due to the problems in which the site selection process led by private operators is improperly managed. To review the institutional improvement measures that solve this problem, domestic and foreign institutions and operational cases were comparatively analyzed, focusing on key actors from the multi-level governance perspective. First, the status of the site selection process in the Republic of Korea, major issues in stakeholder conflicts, and discussions on the planned site system-related laws (draft) were reviewed. Next, the site selection process and relevant cases in Germany, the Netherlands, and Japan were analyzed. In all these countries, site selection is done by the central government. In Germany and the Netherlands, maritime-related ministries establish overall offshore wind power site plans and conduct strategic environmental assessments for these plans. Futhermore, in the process of determining each individual site, extensive site investigation including environmental assessments are conducted. This aspect needs to be supplemented in the discussion on the direction of institutional improvement in the Republic of Korea.

• 한국사회정책
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• v.19 no.2
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• pp.69-97
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• 2012

This study has sought to analyze factors affecting work and work preference of older adults at national and individual level. A few theoretical hypotheses such as economic need versus job opportunity (or employability), attitude toward paid work, pull effect versus push effect were tested for citizens in eighteen OECD countries with International Social Survey dataset(2005) using multi-level analysis. Main findings are as follows. First, most older adults wanted to work regardless of the socio-economic status, which implies that non-work of older adults would be due to involuntary constraint rather than voluntary choice. Second, there existed class inequality in that the higher class tended to involve paid work more than the lower class did among 55-64 age group. Third, the push factor such as part-time employment ratio, rather than the generosity of social security, explained the work and retirement patterns better. In conclusion, at least from the comparative perspective, the main problem of older adults' work seems to be of labour demand rather than of labour supply, to be of labour market structure and work opportunity rather than of the pull factor.

• Journal of the Korean Magnetics Society
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• v.10 no.6
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• pp.274-279
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• 2000

The microstructure and thermal properties of the Mn-IriNi-Fe exchange biased multi-layers with various buffer layers and stacking structures have been investigated. The H$_{e{\chi}}$ and the T$_{b}$ depend on the Mn-Ir grain size at the interface between the Mn-Ir layer and the Ni-Fe layer, The (111) preferred orientation of Mn-Ir/Ni-Fe on the Ta buffer layer may promote the values of J$_{k}$ and H$_{e{\chi}}$. The samples which produce the Hex have the epitaxial relationship at the interface between the Mn-Ir layer and the Ni-Fe layer due to the generation of misfit dislocation.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.161-187
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• 2012

Recently, environmentally friendly technology are becoming important due to reconsideration about climate change and environmental pollution. In addition, as well as technical skills and social interaction through an analysis of the nonlinear transition management and policy implementation are emerging. This study of the development of photovoltaic industry in Korea 10 years analyze with strategic niche management (SNM) based on the theoretical and multi-layered perspective (MLP) is used as the analytical framework. Choose the gerverment-support project for niche technology, through a process of quantifying and alnalyze the phase transition to Regime with the numerical method and policy vision, learning effects, and network that key elements of SNM, MLP. Through the analysis of the photovoltaic industry technology-commercialization phase was investigated. This conventional overall and step-by-step model for technical management is proposed to replace exiting linear and narrow method and through the case study its validity was confirmed.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.2
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• pp.196-218
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• 2010

This study is to investigate the development process and the structure of the machine and material industrial clusters in Yeongnam region, Korea. In theoretical analysis, it is proposed that the wide area industrial cluster has three type of development process and a duplicate (or multi-level) spatial structure. We can ascertain from the case study of industrial clusters in Yeongnam region that An wide machine and material industrial cluster has been formed in Yeongnam region and the cluster has the duplicate structure or multi-level structure.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.150-158
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• 2022

The purpose of this study is to confirm the effectiveness of the evaluation of long-term care insurance visiting care service institutions for the elderly from the user's point of view. To this end, data from a survey of 266 users collected through allocation sampling by region(14 cities and counties) in Jeollabuk-do and public data from 47 institutions were combined and analyzed using a multi-layered model. The main research results are as follows. First, among the five evaluation areas, the higher the score in the 'Rights·Responsibility' area, which is to give users a sense of rights and respect users, the higher the service quality and satisfaction. Second, among the five evaluation areas, the 'Rights·Responsibility' area had an effect on loyalty. In addition, it was found that the 'Outcome' area for satisfaction with institutions and employees and changes in users had an effect on loyalty. Third, it was found that 'Institutional Management', 'Environment·Safety', 'Process' did not affect service quality, satisfaction, and loyalty. Based on these results, it is proposed to reorganize the evaluation scale that users can recognize and that is faithful to the purpose.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Journal of the Korean Geographical Society
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• v.47 no.1
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• pp.37-59
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• 2012

Korean studies are in crisis because they have fallen prey to the territorial trap associated with methodological territorialism and methodological nationalism. In order to overcome this situation, this paper suggests the studies on Korea to be more active in accepting the socio-spatial perspective that emphasize the inseparability of society and space. In particular, paying special attention to the 4 important dimensions of socio-spatial relations, such as place, territory, network and scale, it examines the ways in which these 4 dimensions are overlapped, interconnected and dynamically interacting with one another from the perspective of "multi-scalar networked territoriality". In conclusion, I argue that the Korean studies need to understand the variegated and multi-scalar nature of Korea, a place, which is constituted through complex interactions among diverse political, social, economic and cultural forces and processes that operate in various places and at diverse geographical scales.those days, such as agriculture, crops, and transportation of goods. Fifth, the bibliography and citations explaining all instances reveal that China (Qing) is a great civilization of the advanced world and that the scholarship of Joseon relied on and accepted it. Sixth, except for horse raising and management, farming implements for rice transplantation, sericulture, and natural dying of cloth, most of the topics are useful even today. In short, theres is a profound aspect to the content that makes it possible to estimate the "geographical thinking". In general, the focus of the content of this book directly linked to the practical agricultural economy of the common people.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.159-166
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• 2009

In this paper, we analyse the noise robustness of MLPs(Multilayer perceptrons) through deriving the probability density function(p.d.f.) of output nodes with additive input noises and the misclassification ratio with the integral form of the p.d.f. functions. Also, we propose linear preprocessing methods to improve the noise robustness. As a preprocessing stage of MLPs, we consider ICA(independent component analysis) and PCA(principle component analysis). After analyzing the noise reduction effect using PCA or ICA in the viewpoints of SNR(Singal-to-Noise Ratio), we verify the preprocessing effects through the simulations of handwritten-digit recognition problems.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.40-48
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• 2007

This paper presents a novel texture segmentation method using multilayer perceptron (MLP) networks and Markov random fields in multiscale Bayesian framework. Multiscale wavelet coefficients are used as input for the neural networks. The output of the neural network is modeled as a posterior probability. Texture classification at each scale is performed by the posterior probabilities from MLP networks and MAP (maximum a posterior) classification. Then, in order to obtain the more improved segmentation result at the finest scale, our proposed method fuses the multiscale MAP classifications sequentially from coarse to fine scales. This process is done by computing the MAP classification given the classification at one scale and a priori knowledge regarding contextual information which is extracted from the adjacent coarser scale classification. In this fusion process, the MRF (Markov random field) prior distribution and Gibbs sampler are used, where the MRF model serves as the smoothness constraint and the Gibbs sampler acts as the MAP classifier. The proposed segmentation method shows better performance than texture segmentation using the HMT (Hidden Markov trees) model and HMTseg.