• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.3
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• pp.139-148
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• 2022

Saxifraga hirculus is classified as a vulnerable plant species in Europe, and it is confined to base-rich flushes in the British uplands. However, a lack of available information about its conservation status hampers the development of adaptive strategies for its in-situ conservation, especially with respect to grazing. To assess the effectiveness of sheep grazing in maintaining viable populations of S. hirculus, we compared the community dynamics of the vegetation in a base-rich flush over 44 years in two plots: one sheep-grazed under business-as-usual sheep grazing densities and the other fenced to exclude grazing. The plots were established in 1972, and the abundances of all vascular plants, bryophytes, and litter were measured at six intervals until 2016. Our results showed that although the presence of S. hirculus was maintained in both plots over the 44 years, it declined and reached a minimum between 1995 and 2010, when it was close to extinction. Since 2013, Saxifraga has recovered only slightly. Interestingly, the S. hirculus response appeared to be independent of grazing treatment, but it mirrored wider changes in the vegetation composition and structure within the flush over the 44 years. These changes are similar to others reported in broader uplands that have been attributed to a combination of reduced nitrogen and sulfur deposition and global warming. Thus, the simple adaptive management approach of "just managing" sheep grazing appeared ineffectual for preserving the S. hirculus population. S. hirculus showed signs of recovery at the end of the study period within this base-rich flush.

• Journal of Korea Trade
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• v.23 no.7
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• pp.34-44
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• 2019

Purpose - The purpose of this study is to present what the port of Pyeongtaek, the hub of Korean trade with China, should improve in the current situation, wherein the e-commerce trade volume between Korea and China is increasing due to the development of online technology. Design/methodology - In this study, through prior research and expert interviews on e-commerce and port activation between borders, we derived the main improvement factors for 1) Administration and Systems, 2) Facilities, 3) Transport, and 4) Manpower, and selected 12 detailed variables for the major improvement factors. To identify the relative importance of the major improvement factors, the Analytic Hierarchy Process (AHP) method was applied, and a survey was conducted among 15 related experts. Findings - As a result, among the 12 detailed variables, Composition of Association (0.267) was the first factor to be improved, followed by Incentive Support (0.143) and E-Commerce Cluster (0.131). Based on these analyses, the main implications of this study are, first, in the current situation where the cross-border e-commerce market is growing, Pyeongtaek Port needs to form a consultative body among the government, local governments, and related businesses in connection with cross-border e-commerce and develop various support policies for the e-commerce market. Second, it will have to be able to provide differentiated services from competing ports by establishing e-commerce market-oriented clusters. Originality/value - In existing related studies, various improvements were presented to revitalize trade in line with the growth of the cross-border e-commerce market. However, with regard to most cross-border e-commerce businesses, one-dimensional improvement measures, such as improvement of payment systems, improvement of customs clearance services, and promotion of human resources, are presented in a piecemeal manner. In other words, none of the studies have proposed the importance and priority of each measure in terms of both the forward-looking and efficient allocation of resources, which is the purpose of this study. Therefore, this study contributed politically, practically, and academically by presenting countermeasures for ports to revitalize cross-border e-commerce and presenting strategic priorities using quantitative analysis methods.

• Informatization Policy
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• v.29 no.4
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• pp.91-108
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• 2022

Keen attention has been directed at "smart tourism cities" due to its role of solving urban problems arising from modern tourism development. However, some local governments are making huge investments in developing uniform tourism apps without specific directions or guidelines for the transformation of smart tourism cities. Accordingly, this study aims to develop a standardized and objective smart tourism competitiveness index and evaluate the competitiveness rankings of various cities around the world. The index comprises the five subindices of attractiveness, accessibility, digitalization readiness, sustainability, and co-partnership. The analysis results have shown that Singapore is the most competitive smart tourism city, followed by Amsterdam, New York City, Seoul and Barcelona, with Ho Chi Minh and Bangkok being relegated to the bottom of competitiveness rankings. We expect that this index can be employed as a global standard for continuously and systematically monitoring smart tourism city-related projects in the future.

• Journal of International Area Studies (JIAS)
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• v.14 no.2
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• pp.187-214
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• 2010

This article is aimed at understanding the goals of the citizenship educations and changes of political cultures in the Sukarno, Suharto, and the post-Suharto periods in Indonesia. Sukarno's and Suharto's regimes adopted Pancasila, Indonesia's state ideology, as the philosophical basis of education. The citizenship education based on Pancasila was nothing but a political education, which aimed at suppressing the masses and justifying authoritarian rules of the regimes. After the collapse of the Suharto regime, a democratic citizenship education has launched, which emphasized the expanded civic rights and obligations as world citizens and the masses' active participation in politics. However, in this new curriculum, Pancasila is still emphasized as the supporting philosophical pillar of education. The reason is because, through the values of communitarianism represented in the discourse of Pancasila, the state needs to control the possible irresponsible and undemocratic behaviors of local powers and global economy when liberalism is not effectively controlled.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.514-530
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• 2022

Industrial clusters are being promoted in various ways to enhance industrial competitiveness around the world. This study aims to examine the formation and development process of regional industrial clusters in Bavaria, which are strengthening the competitiveness of local industrial enterprises and leading the continuous development of related industries in Germany, which shows stable industrial growth amidst global competition. To this end, this study first theoretically overviews the regional industrial clusters, followed by a case study of the development process and characteristics of cluster promotion policy in Bavaria, Germany. In particular, this study seeks to identify the formation and organization system of industrial clusters in Bavaria. Based on these analysis results, this study examines the main characteristics and success factors of regional industrial clusters in Bavaria, Germany, and tries to derive policy implications for creating and fostering industrial clusters in the future.

• The Journal of the Acoustical Society of Korea
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• v.42 no.4
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• pp.357-363
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• 2023

In underwater signal processing, separating individual signals from mixed signals has long been a challenge due to low signal quality. The common method using Short-time Fourier transform for spectrogram analysis has faced criticism for its complex parameter optimization and loss of phase data. We propose a Triple-path Recurrent Neural Network, based on the Dual-path Recurrent Neural Network's success in long time series signal processing, to handle three-dimensional tensors from multi-channel sensor input signals. By dividing input signals into short chunks and creating a 3D tensor, the method accounts for relationships within and between chunks and channels, enabling local and global feature learning. The proposed technique demonstrates improved Root Mean Square Error and Scale Invariant Signal to Noise Ratio compared to the existing method.

• The Southeast Asian review
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• v.19 no.2
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• pp.173-218
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• 2009

Bring this analysis down to people-centered development perspective and looking through democratization in the Philippines, Thailand and Indonesia, we find similarities and differences among them related with the intensity of conflicts between development and human rights in the process of democratization in line with global transformation. Civil society in the Philippines criticized the developmental path in the Philippines which failed to implement land reform and eradication of poverty under the transition from 'patrimonial oligarchy' to democracy. In Thailand the coalition of military and the royalists had consolidated its power since Sarit military regime, which later paved the way 'hybrid oligarchy' era. Most Thai civil society organizations has regarded their developmental experience rather as 'maldevelopment' which disregarded economic and social rights. It has been especially believed by Thai localists that the stimulation of local markets and the building of autonomic community society will form the alternative economy without going against the conservative banner of nation, religion and king. Thaksin as a populist successfully took advantage of Thai localist ethos in favour of taking the seat of power. He projected himself as a modernizer focused on economic growth and cleaner politics. However Thaksin's procedural legitimacy was overthrown by counterattacking from military-royalist alliance, pretexting that Thaksin caused internal conflicts and lacked morality. Soeharto's New Order regime which can be called 'administrative oligarchy' had an antipathy towards notions of economic and social rights as well as civil and political rights. In spite of the fact that the fall of Soeharto opened the political space for democratic civil society organizations which had long struggled with development aggression and human rights abuses, there have been continuously a strong political and military reaction against human rights activists, NGOs and ethnic minorities such as Aceh and Papua. Nevertheless, Indonesian democracy is more promising than Philippine's and Thai democracy in terms of comparatively less pre-modern legacies.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.1
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• pp.55-70
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• 2024

The loss of biodiversity poses a significant threat not only to business sustainability and investment risk but also to societal well-being. Nature serves as a crucial driver for long-term business viability and economic prosperity. The Task Force on Nature-related Financial Disclosures (TNFD), established in September 2023, mandates that companies assess and disclose their impacts on nature. Despite this, many businesses lack a full understanding of their reliance on and impact upon natural capital and ecosystem services, leading to insufficient disclosures. This study evaluates the applicability of TNFD's assessment methodologies and indicators within a domestic context, highlighting the condition of nature and ecosystem services, and exploring potential synergies with national biodiversity policies. Our analysis suggests that TNFD necessitates a unique approach to the spatial and temporal data and methodologies traditionally employed in environmental impact assessments. This includes assessing the reciprocal influences of corporate activities on natural capital and ecosystem services via the LEAP framework. Moreover, in industries where the choice of specific indicators depends on unique sectoral traits, developing a standardized strategy for data and assessment indicators-adapted to local conditions-is crucial due to the variability in the availability of assessment tools and data. The proactive engagement of the private sector in ecosystem restoration projects is particularly promising for contributing towards national biodiversity objectives. Although TNFD is in its nascent phase, its global adoption by numerous companies signifies its potential impact. Successful implementation of TNFD is anticipated to deepen businesses' and financial institutions' understanding of natural capital and ecosystem services, thereby reinforcing their commitment to sustainable development.

• Information Systems Review
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• v.19 no.1
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• pp.169-183
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• 2017

As global competition is heating up and product life cycle has been rapidly shortened, each company pursues a variety of competitive technology innovations through different means of innovation. In this study, we assume that open innovation can be a shift motive of the technology innovation paradigm of small and medium enterprises (SMEs) being beyond the limitations of R&D within a company. We analyze the process and content of open innovation and performance. In addition, we identify the problems generated in the open innovation process and analyze the ways to strengthen open innovation. This study is based on the investigations into the technological competitiveness of local SMEs. The innovation ecosystem is analyzed from the perspective of product/service innovation, organizational innovation, and marketing innovation. Situational analysis is presented on the relationship between the innovation capabilities of information and communication technology SMEs and innovation performance.

• Steel and Composite Structures
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• v.52 no.2
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• pp.145-163
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• 2024

This paper presents six novel hybrid machine learning (ML) models that combine support vector machines (SVM), Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), extreme gradient boosting (XGB), and categorical gradient boosting (CGB) with the Harris Hawks Optimization (HHO) algorithm. These models, namely HHO-SVM, HHO-DT, HHO-RF, HHO-GB, HHO-XGB, and HHO-CGB, are designed to predict the ultimate strength of both rectangular and circular reinforced concrete (RC) columns. The prediction models are established using a comprehensive database consisting of 325 experimental data for rectangular columns and 172 experimental data for circular columns. The ML model hyperparameters are optimized through a combination of cross-validation technique and the HHO. The performance of the hybrid ML models is evaluated and compared using various metrics, ultimately identifying the HHO-CGB model as the top-performing model for predicting the ultimate shear strength of both rectangular and circular RC columns. The mean R-value and mean a20-index are relatively high, reaching 0.991 and 0.959, respectively, while the mean absolute error and root mean square error are low (10.302 kN and 27.954 kN, respectively). Another comparison is conducted with four existing formulas to further validate the efficiency of the proposed HHO-CGB model. The Shapely Additive Explanations method is applied to analyze the contribution of each variable to the output within the HHO-CGB model, providing insights into the local and global influence of variables. The analysis reveals that the depth of the column, length of the column, and axial loading exert the most significant influence on the ultimate shear strength of RC columns. A user-friendly graphical interface tool is then developed based on the HHO-CGB to facilitate practical and cost-effective usage.