• Korean Journal of Agricultural Science
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• v.39 no.2
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• pp.263-270
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• 2012

The vitalization of Agro-industrial complex could be an alternative to enhance farmers off-farm income and overcome FTA's impacts on the import of agricultural products. However, it is evaluated the governmental policy on the Agro-industrial complex has not been successfully done as expected. The Agro-industrial complex started to be composed in 1984 and the 427 Agro-industrial complex have been composed nationwide by 2011. Meanwhile, three Agro-industrial complex where 61 factories are running have been composed and two Agro-industrial complex are being under construction in Seocheongun as of 2011. It is investigated that there are constraints in the government supporting systems for Agro-industrial complex. They are; Aged and poor infrastructure facilities, Weak marketing competition, Scattered supporting agencies, and Poor loan system, etc. In this respect, the policy of supporting system was suggested and recommended to vitalize Agro-industrial complex in the study. They are; Better loan system, Improving aged facilities, Marketing support, Assisting technology, Suppling labor power, and Forming factory-network, etc.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.42-51
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• 2020

In this paper, the authors propose the pseudo complex correlation coefficient (PCCC) of the two complex random variables (RV), because the four real correlation coefficients (RCC) of the corresponding four real RVs cannot be obtained only from the complex correlation coefficient (CCC) of given two complex RV. Such observation is motivated by the general statement; "The complex jointly-Gaussian random M-vector cannot be completely described by the complex covariance matrix, even though the real Gaussian random 2M-vector can be completely descried by the real covariance matrix. Therefore, in order to describe completely the complex jointly-Gaussian random M-vector, we need an additional matrix, namely the complex pseudo-covariance matrix, along with the complex covariance matrix." Then, we apply PCCC to correlated information sources (CIS) for non-orthogonal multiple access (NOMA) in 5G system, and investigate impact of the proposed PCCC on the achievable data rate of the stronger channel user in the conventional successive interference cancellation (SIC) NOMA with CIS. It is shown that for the given same CCC, the achievable data rates with the different PCCC are different, because the corresponding RCC are different. We also show that as the absolute value of the same CCC increases, the impact of the different PCCC becomes more significant.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.542-547
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• 2015

This study is discussing with respect to the access sector for terrorism response based on the thinking and methodology of complex systems theory, which is mainly used in many disciplines today to effectively respond to complex multi-environment change its purpose there. As a result, Butterfly Effect, fractal & self-similarity, self-organization, emergence, coevolution, edge of chaos the applicability of the corresponding field of terrorism through the complex system theory as metaphorical will be able to navigate.

• Structural Engineering and Mechanics
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• v.78 no.3
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• pp.369-378
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• 2021

This paper reviewed a few output-only system identification algorithms and identified the shortcomings of those popular blind source separation methods. To address the issues such as less sensors than the targeted modal modes (under-determinate problem), repeated natural frequencies as well as systems with complex mode shapes, this paper proposed a complex wavelet modified second order blind identification method (CWMSOBI) by transforming the time domain problem into time-frequency domain. The wavelet coefficients with different dominant frequencies can be used to address the under-determinate problem, while complex mode shapes are addressed by introducing the complex wavelet transformation. Numerical simulations with both high and low signal-to-noise ratios validate that CWMSOBI can overcome the above-mentioned issues while obtaining more accurate identified results than other blind identification methods.

• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.225-229
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• 2007

Recently, wireless sensor networks are deployed in various applications range from simple environment monitoring systems to complex systems, which generate large amount of information, like motion monitoring, military, and telematics systems. Although wireless sensor network nodes are operated with low-power 8bit processor to execute simple tasks like environment monitoring, the nodes in these complex systems have to execute more difficult tasks. Generally, MAC protocols for wireless sensor networks attempt to reduce the energy consumption using duty cycling mechanism which means the nodes periodically sleep and wake. However, in the duty cycling mechanism. a node should wait until the target node wakes and the sleep latency increases as the number of hops increases. This sleep latency can be serious problem in complex and sensitive systems which require high speed data transfer like military, wing of airplane, and telematics. In this paper, we propose a solution for reducing transmission latency through distributed duty cycling (DDC) in wireless sensor networks. The proposed algorithm is evaluated with real-deployment experiments using CC2420DBK and the experiment results show that the DDC algorithm reduces the transmission latency significantly and reduces also the energy consumption.

• STI Policy Review
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• v.5 no.1
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• pp.1-33
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• 2014

Despite a commonly held belief that standards obstruct innovation, recent research shows that they can actually play critical roles in supporting various activities of technological innovation. Thus, providing an innovation-friendly environment through standardization has been gaining much attention in recent years; however, there is as yet limited understanding, due to complex dynamics and high uncertainties associated with innovation, as well as a variety of different types and functions of standards with various stakeholders involved. The problem becomes even more challenging for standardization in highly complex systems, such as Information and Communication Technology (ICT) systems, where a large number of domains and components are involved, along with various types of stakeholders. In order to deal with such complexity and variations, a systematic approach of standardization roadmapping has been used in many technology-leading countries as a strategic policy tool for supporting effective management of standardization. Despite its wide adoption, the current understanding of standardization roadmapping is somewhat limited, leaving significant challenges for policymakers and standards organizations in terms of how to structure and manage roadmapping exercises, and how the government should get involved. In this regard, the current research explores existing standardization roadmaps in various contexts related to ICT systems (ICT in Korea, Smart Grid in the US, and electromobility in Germany), as there is a particular need for systematic development of strategies for such complex systems of ICT. Focusing on various aspects of standardization roadmapping exercises such as their structures, processes, and participants, their common features and key characteristics are identified. Comparing these roadmaps also reveal distinct differences between standardization roadmapping approaches adopted by different countries in different contexts. Based on lessons learnt from existing practices, the study finally provides insight for the Korean ICT standards community on the ways in which their standardization roadmapping approach can be improved to support anticipatory management of standardization activities more effectively. It is expected that the current research can not only provide increased understanding of standardization roadmaps, but also help policymakers and standards organizations to develop more effective strategies for supporting innovation through the systematic management of standardization.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2030-2052
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• 2023

Analysis of a bipartite (two-mode) network is a significant research area to understand the formation of social communities, economic systems, drug side effect topology, etc. in complex information systems. Most of the previous works talk about a projection-based model or latent feature model, which predicts the link based on singular similarity. The projection-based models suffer from the loss of structural information in the projected network and the latent feature is hardly present. This work proposes a novel method for link prediction in the bipartite network based on an ensemble of composite similarities, overcoming the issues of model-based and latent feature models. The proposed method analyzes the structure, neighborhood nodes as well as latent attributes between the nodes to predict the link in the network. To illustrate the proposed method, experiments are performed with five real-world data sets and compared with various state-of-art link prediction methods and it is inferred that this method outperforms with ~3% to ~9% higher using area under the precision-recall curve (AUC-PR) measure. This work holds great significance in the study of biological networks, e-commerce networks, complex web-based systems, networks of drug binding, enzyme protein, and other related networks in understanding the formation of such complex networks. Further, this study helps in link prediction and its usability for different purposes ranging from building intelligent systems to providing services in big data and web-based systems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1301-1304
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• 1993

The base of proposed decomposing approach is multilevel process of agregation (simplificative transformation) of the description of the project structures. The new classification of fuzzy choice operators is suggested to obtain the decomposing correlations.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.742-748
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• 1993

The dynamics and control of two complex column configurations (sidestream column with stripper; prcfractionater/sidestream column configuration), which are multivariable interacting and nonlinear, have been studied. A new control scheme developed by Hanand Park(1993) to deal with the nonlinear and multivariable nature of distillation processes has been applied to these complex distillation configurations. The control scheme incorporates a nonlinear wave model into a generic model control framework. An observer based on the nonlinear wave model is used to determine the profile positions of distillation column sections. The control scheme enables tight control of the profile position of each column section that leads to fast stabilization of product compositions.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.222-225
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• 1999

We discuss the symmetry for computer-generated figures based on complex dynamics. The figures have not continuous lines, and they axe plotted on a specific region in the complex plane. They have different properties from classical figures. But we believe that they are variety of figures. The symmetric discussions are necessary because of their properties.