• Korean Journal of Organic Agriculture
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• v.18 no.1
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• pp.21-40
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• 2010

This work is described as an fresh effort to study environmental sustainable management in organic products retailing markets. Sustainable management means creating value for business, nature and society. The main point of this thesis is about the concept, the content and the target of environmental sustainable management, and the technical method and basis to achieve it. Also this thesis shows the strategy of sustainable management as well as the realization of sustainable development by carrying out organic agricultural production. The main content of sustainable management is that: - Rationalize the utilization of resource and energy. - Maximize economic benefit. - Minimize harm to humans and the environment. Examines business strategies that have successfully targeted markets, such as advertising, labeling, gaining consumer trust, partnerships, and diversifying operations. These included management skills, and marketing organic and other sustainably grown products to determine strategies for developing new markets for these products. Suggests that consumers are becoming more aware of the importance of environmentally sound methods for growing food, the health benefits of wholesome food, and are willing to pay more for these products.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.87-88
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• 2018

The change in the degree of powder in cement is very important because it plays a major role in the reaction in the concrete. In this study, we intend to apply the principle of early estimation of concrete strength using the non-middling method previously conducted to the quality evaluation of cement powder. In other words, it is proposed to analyze the potential of Hydrometer density values and the data of temperature variation in the trust solution to propose a method of acceptance inspection. According to the experimental results, the quick evaluation of the cement distributorship will be possible if the resulting regression results are used : y = 161867.4 x₁ + 117.953 x₂ - 165437 (R = 0.9158).

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.87-93
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• 2013

MANET has the advantage of having the flexibility to build easily a network in a difficult situation that builds a wired network. But, data transmission errors by movement of nodes and eavesdropping by wireless communications have become a problem of security. Authentication service is the most essential in order to overcome these problems and operate network stably. In this paper, we propose 3-tiers authentication structure to exclude of malicious node and operate stable network through more systematic and thorough node authentication. After network is composed into a cluster, cluster head which play CA role is elected. Among these, the highest-CA is elected. The highest-CA receives certificates to cluster head and the cluster head evaluates trust value of their member nodes. Authentication technique which issues member node key is used. We compared PSS and experimented to evaluate performance of proposed scheme in this paper and efficiency of the proposed technique through experience was confirmed.

• Proceedings of the IEEK Conference
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• summer
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• pp.159-164
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• 2004

This paper aims towards designing and implementation of a new adaptive Peer to Peer (P2P) network that cluster itself on the basis of semantic proximity. We also developed an algorithm to classify the nodes to form the semantic groups and to direct the queries to appropriate groups without any human intervention. This is done using Bloom filters to summarise keywords of the documents shared by a peer. The queries are directed towards the appropriate clusters instead of flooding them. The proposed topology supports a system for maintaining a global, omnipresent trust value for each peer in an efficient manner both in terms of decision time and network load.

• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.1-10
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• 2020

Blockchain enabled Decentralized Autonomous Organization (DAO), a new form of organization with conveying its core value - trust. Token holders who are participating DAO's governance share their thoughts, information, and ideas in online forum. But it is problem that chronological form of DAO's online forum makes token holders hard to find crucial information, meaning that many of them might not understand what is happening discussion. In this paper, we studied not only a decision making process which feature is iteration, visualization, and applicable to DAO with 6 steps in total but also a decision making tool which is based on the process of this paper. The tool has features to help participants such as voting model, visualization features which gives guidance to them for their decision during the process. Our experiment showed that the process and tool is somewhat reasonable, and the information during the process is effective for participants. This work is expected to be applied to current DAOs to make a decision among the token holders.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.19-36
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• 2010

The purpose of this study is to investigate the relationship among users perception on the characteristics of U-Services, attitude factors as mediating variables, and behavioral intention toward U-Services as the dependent variable. Based on the literature review on the related theories, the research model which analyzes the behavioral intention toward U-Services was developed. The result from the analysis of the data collected validated the U-Services Acceptance Model (USAM) proposed in this study as a sound construct framework. Futhermore, significant insights on the USAM were provided for the stakeholders and future researchers in the field of U-Services Acceptance.

• Journal of the Korean Institute of Landscape Architecture
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• v.15 no.3
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• pp.1-10
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• 1988

The initial selection of plants is the decisive step in the ultimate success of any landscape planting. This study intended to establish a reasonable selecting criteria of tree in the landscape through the holistic consideration of aesthetic, functional, cultural, operational and ecological viewpoints. The matrices of evaluating the fitness of tree were modulated to 10 categories ; availability from the established nursery. aesthetic value, indigenous to the locality, maintenance, soil fertility requirement, environmental tolerances. growth rate. wild-life food production. use of plants in design and user's likes. This 10 categories were weighted to their fitness as high(10 points), medium(8 points) and low(5points). Thus suitable plants were identified which got 70 more points from total 100 points. Such a method was believed as a rational process to get trust from client. to persuade uneducated client and to be free from designer's prejudice through a case study. But it is important to landscape designer to recognize the relationship between the rationality which prevails throughout the modern technical world and the intuitive aspects of design that are essential for developing creative solutions to encourage creativity as well as analytical responsibility.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1243-1257
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• 2019

As current algorithms unable to perform effective fusion processing of unknown complex radar signals lacking database, and the result is unstable, this paper presents a multi-level fusion processing algorithm for complex radar signals based on evidence theory as a solution to this problem. Specifically, the real-time database is initially established, accompanied by similarity model based on parameter type, and then similarity matrix is calculated. D-S evidence theory is subsequently applied to exercise fusion processing on the similarity of parameters concerning each signal and the trust value concerning target framework of each signal in order. The signals are ultimately combined and perfected. The results of simulation experiment reveal that the proposed algorithm can exert favorable effect on the fusion of unknown complex radar signals, with higher efficiency and less time, maintaining stable processing even of considerable samples.

• Asia Marketing Journal
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• v.21 no.4
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• pp.59-76
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• 2020

Though crowdfunding has emerged as a cost-effective means to market innovative products and a channel for financial resource acquisition, our understanding about what makes a successful crowdfunding is still limited. This study is motivated by the presence of the inconsistency that both entrepreneurs and investors pay more attention to capabilities required for developing prototype products rather than capabilities needed to deliver the promised products in crowdfunding. By drawing insights from studies about liability of newness and legitimacy in institutional theory, this study argues that startups can overcome the liability of newness, earn investor trust, and successfully complete crowdfunding campaigns by effectively presenting visible and invisible capabilities. This study presents a set of testable propositions predicting the likelihood of crowdfunding success and explains the theoretical and practical value of the proposed conceptualization of startup capabilities.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.58-65
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• 2023

Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.