• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.185-193
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• 2015

The wisdom contents consists of an ordinary person's ideas and experience. The Wisdom Market [1] is an online business model where wisdom contents are traded. Thus, the general public could do business activities in the Wisdom Market at ease. As the wisdom contents are themselves the thought of persons, there exists many similar or duplicated contents. Existing copyright protection schemes mainly focus on the primary author's right. Thus, it's not appropriate for protecting the contents of Collective Intelligence that requires to protect the rights of collaborators. There should exist a new method to be dynamic capable of combining and deleting rights of select collaborators. In this study, we propose collective copyright authentication scheme suitable for the contents of Collective Intelligence. The proposed scheme consists of collective copyright registration, addition and verification protocols. It could be applied to various business models that require to combine multiple rights of similar contents or to represent multiple authorships on the same contents.

• International Commerce and Information Review
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• v.16 no.5
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• pp.295-315
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• 2014

This paper attempts to reveal the relationships between vulnerability, FTA barrier, verification factors and origin performance. According to precedent studies, Our study analysed 104 cases from Korean companies which adopted a rules of origin and then developed a structural equation model. As a result of the model test, this empirical study found that vulnerability have a negatively significant influence on origin verification. Second, there was a positive relationship among origin verification and origin performance. Through the results of this study are the first company in order to enhance competitiveness, improve understanding of the rules of origin, must go to deal jointly with partner companies. Second, to establish a process for the origin of the goods to prove this systematic and should be managed in an orderly fashion. Country of origin verification system of corporate -level internal factors and external factors, separated by a study to assess the level of the enterprise for internal and external is determined that you need.

• Journal of Chest Surgery
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• v.43 no.2
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• pp.221-223
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• 2010

Bronchogenic cysts are usually located in the pulmonary parenchyma or in the mediastinum. When bronchogenic cysts are located in the mediastinum, they are usually near the bronchus or esophagus, and rarely located in the retroperitoneal space. It is difficult to differentiate between bronchogenic cysts and benign cysts prior to surgert. We report here on a patient for who had a mass in the retroperitoneum, with the preoperative diagnosis being a benign neurogenic tumor. Via left open thoracotomy, pathologic reports revealed that the mass was a bronchogenic cyst. We report here on the case of a bronchogenic cyst that was located in the retroperitoneal space of the diaphragm.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.459-476
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• 2008

The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.414-423
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• 2009

Folksonomy, which is collaborative classification created by freely selected keywords, is one of the driving factors of the web 2.0. Folksonomy has advantage of being built at low cost while its weakness is lack of hierarchical or systematic structure in comparison with taxonomy. If we can build classifier that is able to classify web resources from collective intelligence in taxonomy, we can build taxonomy at low cost. In this paper, targeting folksonomy in Slashdot.org, we define a general model and show that collective intelligence, which can build classifier, really exists in folksonomy using a stability value. We suggest method that builds SVM classifier using stability that is result from this collective intelligence. The experiment shows that our proposed method managed to build taxonomy from folksonomy with high accuracy.

• Journal of Chest Surgery
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• v.43 no.1
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• pp.120-123
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• 2010

Bronchogenic cysts (BCs) are relatively common congenital anomalies in the mediastinum. Most of the patients with BC can be managed both safely and effectively by minimally invasive methods. Selected patients with a BC in a favorable location can have the cyst partially or completely excised by mediastinoscopic techniques. Herein we report on a case of a left lower paratracheal bronchogenic cyst that was completely resected by a video-assisted mediastinoscopic technique, and we discuss the technical aspects of this procedure.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.457-463
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• 2015

This paper presents the need for the concept of collective intelligence based system for the timely learning and incorrect notes show the utilization and satisfaction. The old wrong answer note system is characterized by the provision of uniform right answer explanations for the questions whose answers were wrong by checking whether the evaluation items were answered right or wrong. The characteristic requires a lot of improvements in terms of wrong answer analysis and feedback since it cannot properly receive feedback on the items that a learner got right by luck in spite of poor understanding of them and on the errors in the selection process of wrong answers by individual learners. The SERO wrong answer note was designed to propose new ways to identify and capture such "score errors" and compensate for the practical weaknesses of learners. The Stability Emergency Risk Opportunity (SERO) wrong answer note is based on a method of categorizing and analyzing evaluation items answered by the examinee into four types (S, E, R and O type), and commentary correct as well as incorrect answers by presenting a variety of commentary notes using the collective intelligence of the study show that satisfaction is high.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.37-45
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• 2012

The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.11-20
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• 2015

In this paper, we propose a context awareness system to transfer accurate information of the app store based on collective intelligence. By using collective intelligence the system minimizes the errors that could occur when an individual process the problems, recommends APIs for developers and builds the app store for not only customers but also developers. In addition, this system applies the ontology technique to aware the context of consumers, recommends the app suitable for the consumer and provides the information for app developers. By utilizing the deduction technique of the Jena, the context awareness system infers the context of a consumer and constructs the app store system which improves the existing app stores. In the point of service transfer and accuracy, the proposed app store system module show better performance than the existing app store.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.216-222
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• 2021

COVID-19 pandemic brings attentions to the nonmilitary and transnational non-traditonal security threats, as the scales of such damage by these threats are beyond expectation. The Republic of Korea Army tries to forecast non-traditional security threat which may be occurred in Korean peninsula by using collective intelligence platform. In coming years, climate change, social changes and technology development caused by the 4th industrial revolution will diversify non-traditional security threat. Considering urbanization, internet distribution rate, and geopolitical location where atmosphere from continent and ocean meet, Korea would may face the most lethal ones compared to those of other countries may face. Therefore, to predict such threats in pangovernment scale using collective intelligence platforms which embrace civil, public, military, industry, academy and research center is the most important than anything.