• Journal of Computational Design and Engineering
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• v.3 no.2
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• pp.161-177
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• 2016

In history based parametric CAD modeling systems, persistent identification of the topological entities after design modification is mandatory to keep the design intent by recording model creation history and modification history. Persistent identification of geometric and topological entities is necessary in the product design phase as well as in the re-evaluation stage. For the identification, entities should be named first according to the methodology which will be applicable for all the entities unconditionally. After successive feature operations on a part body, topology based persistent identification mechanism generates ambiguity problem that usually stems from topology splitting and topology merging. Solving the ambiguity problem needs a complex method which is a combination of topology and geometry. Topology is used to assign the basic name to the entities. And geometry is used for the ambiguity solving between the entities. In the macro parametrics approach of iCAD lab of KAIST a topology based persistent identification mechanism is applied which will solve the ambiguity problem arising from topology splitting and also in case of topology merging. Here, a method is proposed where no geometry comparison is necessary for topology merging. The present research is focused on the enhancement of the persistent identification schema for the support of ambiguity problem especially of topology splitting problem and topology merging problem. It also focused on basic naming of pattern features.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.115-143
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• 2020

With the era of the 4th Industrial Revolution, the number of data-centric integrated researches increases. The integrated researches make information identification and linkage more important, so it is necessary to seek a method to efficiently manage and share academic-information for supporting the researches. Therefore, this study aims to analyze identification system and linkable information types of 12 major academic search engines and bibliographic databases(ASEBDs) in Korea and abroad and to propose a method to identify and link academic-information. The analysis was conducted 2 times, and academic-information types, searchable fields, linkable information types, used identification system were investigated. As a result, the ASEBDs link directly or/and indirectly 3~4 information types based on their own identifiers with persistent identifiers. In addition, they identify academic-information semi-automatically based on machine learning methodology and collect and manage the related data. Finally, the method for academic-information linkage was proposed in terms of practice and society: linkage based on persistent identifiers and linkage based on collaborative network of institutions.

• Journal of Mechanical Science and Technology
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• v.17 no.10
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• pp.1443-1449
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• 2003

Primary goal of adaptive observers would be to estimate the true states of a plant. Identification of unknown parameters is of secondary interest and is achieved frequently with the persistent excitation condition of some regressors. Nevertheless, two problems are linked to each other in the classical approaches to adaptive observers; as a result, we get a good state estimate once after a good parameter estimate is obtained. This paper focuses on the state estimation without parameter identification so that the state is estimated regardless of persistent excitation. In this direction of research, Besancon (2000) recently summarized that most of adaptive observers in the literature share one common canonical form, in which unknown parameters do not affect the unmeasured states. We enlarge the class of linear systems from the canonical form of (Besancon, 2000) by proposing an adaptive observer (with additional dynamics) that allows unknown parameters to affect those unmeasured states. A recursive algorithm is presented to design the proposed dynamic observer systematically. An example confirms the design procedure with a simulation result.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.3
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• pp.81-90
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• 2014

Objective : We performed a clinical study to investigate pattern characteristics in persistent allergic rhinitis depending on Korean Medicine pattern questionnaire items as a pattern identification diagnostic tool. Method : 32 patients with persistent allergic rhinitis were asked to interview with doctor of Korean Medicine and perform the 4 pattern questionnaires(Cold-Heat Pattern, Phlegm Pattern, Yin Deficiency pattern, bloodstasis pattern). Then, we analyzed the response rate of each pattern questionnaires. Results : After diagnosis of Korean Medicine Doctor's pattern identification, 17 individual items have higher response rate, 7 of 17 items have a common tendency in allergic rhinitis. The other 8 of 10 items belong to Lung qi deficiency cold and Lung-spleen qi deficiency group, these have higher tendency of deficiency. In bloodstasis pattern questionnaires, we don't decide the tendency of patients with allergic rhinitis. Conclusion : The result may provide that we don't use Korean Medicine pattern questionnaires as a major tool in the pattern identification of allergic rhinitis. Continuous studies are needed to develop the standardized pattern identification diagnostic tool.

• Journal of Digital Convergence
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• v.9 no.2
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• pp.65-77
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• 2011

The current study investigated how interpersonal trust is developed in online communities, where most of individual identities are unknown or doubtful. To better understand and theorize the underlying mechanism, a survey was conducted integrating the literature on computer-mediated communication (CMC) and extending previous research on social identify model. The findings confirmed that integrity, benevolence, and openness are essential components in the concept of trustworthiness, which is predicted by social identification and persistency of communication activities in the virtual community.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.247-253
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• 2008

Web 2.0 and Semantic Web technology will be merged to be a next generation Web that leads presentation-oriented Web to data-centric Web. In the next generation Web. semantic processing. Web Platform, and data fusion are most important technology factors. Resolving the Link Rot is the one of the essential technologies to enable these features. The Link Rot causes not only simple annoyances to users but also more serious problems including data integrity. loss of knowledge. breach of service. and so forth. We have suggested a new XRI-based persistent Web link architecture to cure the Link Rot that has been considered as a deep-seated Problem of the Web. The Proposed architecture is based on the XRI suggested by OASIS and it is designed to support a persistent link by using URL rewriting. Since the architecture is designed as a server-side technology, it is superior to existing research especially in Interoperability. Transparency and Adoptability. In addition to this, the architecture provides a metadata identification to be used fer context-aware link resolution.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.5
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• pp.395-401
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• 2004

We present an AILC(Adaptive Iterative Learning Control) scheme and a sufficient condition for system parameter identification for uncertain robotic systems that perform the same tasks repetitively. It is guaranteed that the joint velocity and position asymptotically converge to the reference joint velocity and position, respectively. In addition, it is proved that a sufficient condition for parameter identification is the PE(Persistent Excitation) condition on the regressor matrix evaluated at the reference trajectory during the operation period. Since the regressor matrix on the reference trajectory can be easily computed prior to the real robot operation, the proposed algorithm provides a useful method to verify whether the parameter error converges to zero or not.

• International Journal of CAD/CAM
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• v.5 no.1
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• pp.69-81
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• 2005

As collaborative design and configuration design gain increasing importance in product development, it becomes essential to exchange parametric CAD models among participants. Parametric CAD models can be represented and exchanged in the form of a macro file or a part file that contains the modeling history of a product. The modeling history of a parametric CAD model contains feature specifications and each feature has selection information that records the name of the referenced topological entities. Translating this selection information requires solving the problems of how to identify the referenced topological entities of a feature (persistent naming problem) and how to convert the selection information into the format of the receiving CAD system (naming mapping problem). The present paper introduces the problem of exchanging parametric CAD models and proposes a solution to naming mapping.

• Molecules and Cells
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• v.21 no.1
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• pp.112-120
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• 2006

It has been suggested that defective interfering (DI) RNA contributes to the persistence of Japanese encephalitis virus (JEV). In this study, we characterized molecular and biological aspects of the DI RNA and its relation to viral persistence. We identified a homologous DI virus intimately associated with JEV persistence in Vero cells. The production of DI RNA during undiluted serial passages of JEV coincided with the appearance of cells refractory to acute infection with JEV. We also established a Vero cell clone with a persistent JEV infection in which the DI RNA coreplicated efficiently at the expense of helper virus. The infectious virus yield of the clone fluctuated during its growth depending upon the amount of DI RNA accumulated in the previous replication cycle. Identification of the corresponding negative-sense RNA of the DI RNA indicated that the DI RNA functioned as a replication unit. Most of the DI RNA molecules retained their open reading frames despite a large deletion, encompassing most of the prM, the entire E, and the 5' half of the NS1 gene. Taken together, these observations suggest that the generation of homologous DI RNA during successive JEV acute infections in Vero cells probably participates actively in persistent JEV infection.

• Clinical and Experimental Pediatrics
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• v.56 no.5
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• pp.191-195
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• 2013

Severe childhood asthma is a complicated and heterogeneous disorder with distinct phenotypes. Children with severe asthma have more persistent symptoms despite receiving treatment, more atopy, greater airway obstruction, and more air trapping than those with mild-to-moderate asthma. They also have higher morbidity and substantial airflow limitations that persist throughout adulthood. Identification of the phenotype clusters and endotypes of severe asthma can allow further modulation of the natural history of severe asthma and may provide the pathophysiologic rationale for appropriate management strategies.