• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.3
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• pp.178-185
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• 2007

Myrionecta rubra Jankowski 1976(=Mesodinium rubrum Lohmann 1908), a mixotrophic ciliate, is very common and often causes recurrent red tides in diverse marine environments. Since the report on the first laboratory strain of this species in 2000, papers on its novel ecological role and evolutionary importance have been high lighted. This review paper is prepared to promote the de novo recognition M. rubra as a marine mixotrophic species. M. rubra is a ciliate which is able to photosynthesize using plastids originated from cryptophyte (including Teleaulax sp. and Geminigera sp.) prey cells (i.e. kleptoplastidic ciliate). Recently, novel bacterivory of M. rubra was firstly reported. Thus, the nutritional modes of M. rubra include photosynthesis, bacterivory, and algivory. In turn, M. rubra was reported as the prey species of metazoan predators such as calanoid copepods, mysids, larvae of ctenophore and anchovy, and spats of bivalves. In addition, it was reported that dinoflagellate Dinophysis causing diarrhetic shellfish poisoning is one among the predators of M. rubra. Thus, M. rubra, a marine mixotrophic ciliate, may play a pivotal role as a common linking ciliate for the flow of energy and organic material in pelagic food webs.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.231-238
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• 2020

With a large number of documents appearing on the web, document-level novelty detection has become important since it can reduce the efforts of finding novel documents by discarding documents sharing redundant information already seen. A recent work proposed a convolutional neural network (CNN)-based novelty detection model with significant performance improvements. We observed that it has a restriction of using document-level information in determining novelty but assumed that the document-level information is more important. As a solution, this paper proposed two methods of effectively incorporating document-level information using a CNN-based novelty detection model. Our methods focus on constructing a feature vector of a target document to be classified by extracting relative information between the target document and source documents given as evidence. A series of experiments showed the superiority of our methods on a standard benchmark collection, TAP-DLND 1.0.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.137-151
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• 2015

Crowdfunding is a novel method for funding from many individuals using web based platform often in return for products or equity. It allows individual entrepreneurs to create diverse products and services. This thesis elaborates a theoretical foundation for identifying the factors that must have motivated the funders in sponsoring crowdfunding projects. Based on the motivation theory, the proposed research model is constructed with intrinsic and extrinsic motivations from relevant literatures. We also examined how different crowdfunding modes ('Keeping It All' and 'All or Nothing') moderate the proposed research model. Based on the survey from various crowdfunding service providers in Korea, this empirical study found that continuous participation in crowdfunding is positively correlated with factors such as enjoyment, familiarity, agency credibility and reward, while peer-influence shows negative correlation. Furthermore, moderating effects of funding modes significantly affect continuous participation. These empirical results contribute insights on the emerging phenomenon of crowdfunding from funders' perspectives and shed lights more on the ways that the actions of platform providers may affect their ability to receive entrepreneurial financing.

• The KIPS Transactions:PartD
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• v.17D no.4
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• pp.253-258
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• 2010

Traditional frequent pattern mining considers equal profit/weight value of every item. Weighted Frequent Pattern (WFP) mining becomes an important research issue in data mining and knowledge discovery by considering different weights for different items. Existing algorithms in this area are based on fixed weight. But in our real world scenarios the price/weight/importance of a pattern may vary frequently due to some unavoidable situations. Tracking these dynamic changes is very necessary in different application area such as retail market basket data analysis and web click stream management. In this paper, we propose a novel concept of dynamic weight and an algorithm DWFPM (dynamic weighted frequent pattern mining). Our algorithm can handle the situation where price/weight of a pattern may vary dynamically. It scans the database exactly once and also eligible for real time data processing. To our knowledge, this is the first research work to mine weighted frequent patterns using dynamic weights. Extensive performance analyses show that our algorithm is very efficient and scalable for WFP mining using dynamic weights.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.63-69
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• 2015

There are various researches which proposed an automatic instance generation from freetext on the web. Existing researches that focused on English, adopts pattern representation which is generated by simple rules and regular expression. These simple patterns achieves high performance, but it is not suitable in Korean due to differences of characteristics between Korean and English. Thus, this paper proposes a novel method for generating patterns and instances which focuses on Korean. A proposed method generates high quality patterns by taking advantages of dependency relations in a target sentences. In addition, a proposed method overcome restrictions from high degree of freedom of word order in Korean by utilizing postposition and it identifies a subject and an object more reliably. In experiment results, a proposed method shows higher precision than baseline and it is implies that proposed approache is suitable for self-knowledge learning system.

• Health Policy and Management
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• v.23 no.1
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• pp.52-58
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• 2013

This study was conducted to investigate the responsiveness and its related factors of public health center for novel influenza A (H1N1) epidemic. The data was collected through a web-based survey conducted during February to April 2011. The 182 respondents were team leaders or persons who were responsible for H1N1-related work at public health centers during the H1N1 prevalence. The related factors affecting the responsiveness were different by urban or rural area. In the level of gu (urban) area, cooperation with the public organizations, preparing its own response plan were the significant factors. But, in the level of si or gun (rural) area, cooperation with private organizations (clinic or pharmacy), physical (facilities, equipments, and medicines), and human infrastructures (public health professions, education and knowledge, and motivation) were more important factors. Therefore, how to cope with H1N1 prevalence in the future should be different by local characteristics. As a result, there are several challenges that public health centers should prepare for the further emerging infectious diseases. First, it is needed to make standard manuals which could strengthen education and training in order to respond appropriately, as well as to prepare enough physical infrastructures for the crisis. Next, the public health center should prepare correct media response and cooperation system with public and private organizations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.755-762
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• 2016

Motion graphic is the recently emerged technique which extends the ways of expression in video industry. Currently, it is worldwide trends that the image design gets more attention in the field of movie, advertisement, exhibition, web, mobile, games and new media, etc. With the development of computer's new technologies, VFX methods for the visual content is dynamically changed. Such production methods combine the real scenary and CG(Computer Graphic) to compose realistic scenes, which cannot be pictured in the ways of ordinary filming. This methods overcome the difference between the real and virtual world, maximize the expressive ways in graphics and real space. Match moving is technique of accurate matching between real and virtual camera to provide realistic scene. In this paper we propose the novel technique for motion graphic image production. In this framework we utilize the match moving methods to get the movements of the real camera into 3D layer data.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.709-714
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• 2009

Recently, biological researches are required to deal with a large scale of data. While scientists used classical experimental approaches for researches in the past, it is possible to get more sophisticated observations easily with convergence of information technologies and biology. The study on diseases is one of the most important issues of the life science. Conventional services and databases provide users with information such as classification of diseases, symptoms, and medical treatments through web. However, it is hard to connect or develop them for other new services because they have independent and different criterions. It may be a factor that interferes the development of biology. In this paper, we propose an integrated data structure for the disease database, and design and implement a novel directory system for diseases as an infrastructure for developing other new services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.636-642
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• 2017

In this paper, We proposed a novel hand-gesture recognition algorithm using concentric-circle expanding and tracing. The proposed algorithm determines region of interest of hand image through preprocessing the original image acquired by web-camera and extracts the feature of hand gesture such as the number of stretched fingers, finger tips and finger bases, angle between the fingers which can be used as intuitive method for of human computer interaction. The proposed algorithm also reduces computational complexity compared with raster scan method through referencing only pixels of concentric-circles. The experimental result shows that the 9 hand gestures can be recognized with an average accuracy of 90.7% and an average algorithm execution time is 78ms. The algorithm is confirmed as a feasible way to a useful input method for virtual reality, augmented reality, mixed reality and perceptual interfaces of human computer interaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.652-654
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• 2018

Recently there are many people who suffer from a mental problem like depression or anxiety caused by the stress of employment or school works. Some mental care agencies serve a campaign for them, but it's less accessible due to the geographic distance. And before taking the service, people should find out what is a better psychological test for them to diagnose the problem. Furthermore, it is inconvenient that keeping the diagnosis which is written in some papers. In his paper, in order to solve these problems, suggests the novel platform that serves psychological tests to users and stores results into database so that involved agencies could contact quickly. The psychological tests BAI, BDI, PHQ-15, and Q-15 were used to verify the reliability and effectiveness of the platform.