• Korean Journal of Organic Agriculture
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• v.15 no.2
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• pp.151-169
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• 2007

By the environment-friendly(hereafter EF) agricultural policy and toward the safety food of consumers, there is much glowing supply and demand fur EF agricultural products, in Korea. But, in general, EF agricultural products are blown as unique, unreasonable and high price system. This study aims to make clare the main bodies and competition structure in EF agricultural products and the different from the agricultural products. The mail results of this study are summarized as follows. Firstly, farmers and consumers directly participate in the distribution, and the major distributors participate in the market of EF agricultural products after the certification system is got ready. Because EF agricultural products is not dealt and the price system is not built up in agricultural wholesale market. Secondly, the distribution route of EF agricultural products is organized the unified organization by the main bodies such as farmers, consumers co-op, and special distributors. In any step of distribution, the main body of distribution surely deals with the contracted farmers, consumers co-op, and special distributors. Accordingly, it is said that EF agricultural products has the competition structure between the distribution route organized the unified organization rather than between main bodies in the each steps of distribution.

• Journal of Service Research and Studies
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• v.2 no.2
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• pp.115-123
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• 2012

Part of public arts, environmental sculpture not only enhance the beauty of a building, but also a landmark having intimate values with the city environment and symbolic meanings. 'Space storytelling' is not only a connecting bridge between the space and human, but also plays a role in promoting creation of story like a catalyst. Storytelling is expanding to many related industries and one of which is artistic structure, and the storytelling of residental space is getting widely applied to establish the competitive superiority. The purpose of this study involves logically examination the service deliver process of space storytelling based on the residential space. And this study expected to research the influencing factors about purchase and service delivery process of artistic structure.

• Journal of Ocean Engineering and Technology
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• v.11 no.3
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• pp.191-199
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• 1997

This paper develops the piece creation of Hull-structure using PC(Personal Computer) which is from CADRA of graphic program. Large-sized shipbuilding yard was carried out on the development of CNC(Computer Numerical Control) auto cutting system used in super S/W such as AUTODEF, TRIBON. But this system needs lots of expenses and high technician, and only used in large-sized shipbuilding yard, not medium-sized and small-sized shipbuilding yard. To bring up the small and medium-sized ship building yard lacking a little competitive power. Small and medium-sized shipbuilding yard need the piece creation of Hull Structure S/W which is joined with the CADRA. Therefore the piece creation of Hull-Structure S/W is developed to joined with the CADRA of graphic S/W to create the piece to be needed on as auto cutting process using PC.

• The Journal of Information Systems
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• v.30 no.1
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• pp.21-44
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• 2021

Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are "Big Data Analytics Infrastructure", "Performance Management System", "Interactive Exploration", and "Supply Chain Management". We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.439-451
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• 2023

Purpose - Market structure is crucial to identify as it defines the market states for new and existing container ports to perform within a given region. the study aims to compare the major ports in the Bay of Bengal in the context of Chittagong Port. Design/methodology/approach - For this study, the past 9 years of container volume data have been collected and analyzed through the HHI index, BCG matrix and shift effect analysis. Based on the analysis, this study has found that the Chittagong Port is in an oligopoly competitive market structure. Findings - The findings have shown that port in low market share and low growth in very recent years with the moderately concentrated ports HHI index. The shift effect analysis shows that the container volumes shifted from one port to another in the 2019 and 2020 periods. This study is the pioneer study in the Bay of Bengal region to identify the market structure, analyze market share and growth, and analyze the market concentration. Research implications or Originality - Future recommendations for the port authority is to take advantage of geolocation; attract international; tax exemption, faster clearance process, reduced waiting charges; increasing storage and technological machinery; promoting maritime logistics education; promoting Chittagong tourism; collaboration with other countries. Also, this study can be used as basic data for the establishment of a new supply chain between Korea and Southwest Asia for the Korean government and companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2806-2825
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• 2018

Unsupervised learning has shown good performance on image, video and audio classification tasks, and much progress has been made so far. It studies how systems can learn to represent particular input patterns in a way that reflects the statistical structure of the overall collection of input patterns. Many promising deep learning systems are commonly trained by the greedy layerwise unsupervised learning manner. The performance of these deep learning architectures benefits from the unsupervised learning ability to disentangling the abstractions and picking out the useful features. However, the existing unsupervised learning algorithms are often difficult to train partly because of the requirement of extensive hyperparameters. The tuning of these hyperparameters is a laborious task that requires expert knowledge, rules of thumb or extensive search. In this paper, we propose a simple and effective unsupervised feature learning algorithm for image classification, which exploits an explicit optimizing way for population and lifetime sparsity. Firstly, a sparse target matrix is built by the competitive rules. Then, the sparse features are optimized by means of minimizing the Euclidean norm ($L_2$) error between the sparse target and the competitive layer outputs. Finally, a classifier is trained using the obtained sparse features. Experimental results show that the proposed method achieves good performance for image classification, and provides discriminative features that generalize well.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.4
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• pp.127-138
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• 2008

To study about core capability which becomes the kernel of sustainable competitive advantage (SCA) in cyber university which confronts competition-deepening circumstance, the value and importance of brand and educational services of cyber universities which stand on the basis of offline university were examined. Moreover, core capability based on the importance of cyber university service was searched, and its strategic course were suggested. Within research processes, competition environment of cyber university was forecasted, and importance to build up its core capability was examined. Moreover, conjoint analysis was carried out for three offline cyber universities. As a result of survey analysis, effectiveness of cyber university brand showed greater influence than other characteristics in terms of the influence which affects consumer preference for cyber university. Therefore, to overcome weaknesses of brand asset in low brand power cyber university, establishment of strong core capability which reflects consumer preference is needed to carry out differentiation strategy or concentration strategy, and it is necessary to consider the introduction of new competitiveness structure.

• Journal of Microbiology and Biotechnology
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• v.17 no.6
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• pp.1002-1009
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• 2007

A rapid, convenient homogeneous competitive enzyme immunoassay for estimating the amount of fenthion is described. The assay utilizes glucose-6-phosphate dehydrogenase-hapten conjugates that are inhibited in solution by antibodies obtained from bovine serum albumin-hapten conjugates. In order to investigate the effects of bridging group recognition on the sensitivity of dose response characteristics, the bridging groups of varying alkyl chain length were attached at the phosphate position of fenthion. Among the antibodies used, the one obtained from the use of hapten (fenthion analog) with the same bridging group structure that was used in preparing the enzyme-fenthion conjugates showed maximum inhibition (up to 51.8%) in the absence of fenthion. In the presence of fenthion, the activity of the enzyme-hapten conjugate is regained in an amount proportional to the fenthion concentration. Under the optimized condition, the $ED_{50}$ value for fenthion was $0.809{\mu}g/ml$. The assay developed in this study is a rapid effective screening method for fenthion prior to precise analysis.

• Structural Engineering and Mechanics
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• v.62 no.6
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• pp.709-717
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• 2017

This paper develops a two-stage method for structural damage identification by using modal data. First, the Residual Force Vector (RFV) is introduced to detect any potentially damaged elements of structures. Second, data of the frequency domain are used to build up the objective function, and then the Imperialist Competitive Algorithm (ICA) is utilized to estimate damaged extents. ICA is a heuristic algorithm with simple structure, which is easy to be implemented and it is effective to deal with high-dimension nonlinear optimization problem. The advantages of this present method are: (1) Calculation complexity can be decreased greatly after eliminating many intact elements in the first step. (2) Robustness, ICA ensures the robustness of the proposed method. Various damaged cases and different structures are investigated in numerical simulations. From these results, anyone can point out that the present algorithm is effective and robust for structural damage identification and is also better than many other heuristic algorithms.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.12
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• pp.597-602
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• 2002

The restructuring of power industry is still going on all over the world for last several decades. Many kinds of restructuring model have been studied, proposed, and applied. Among those models, power pool is more popular than other. This paper assumes the power pool market structure having competitive generation sector, and a new method is presented to build a bidding strategy in that market. The utilities participating in the market have the perfect information of their cost and price functions, but they don't know which strategy to be chosen by others. To define one's strategy as a vector, we make utility's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's strategy using Nash equilibrium or stochastic methods. And he also has to forecast the system demand. According to this forecasting result, his payoffs can be changed. Considering these all conditions, we formulate a bidding game problem and apply noncooperative game theory to that problem for the optimal strategy or solution. Some restrictive assumption are added for simplification of solving process. A numerical example is given in Case Study to show essential features and concrete results of this approach.