• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1458-1467
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• 2010

Recently, imitation and infringement rights of an intellectual property are being recognized as impediments to nation's industrial growth. To prevent the huge loss which comes from theses impediments, many researchers are studying protection and efficient management of an intellectual property in various ways. Especially, the prediction of patent registration is very important part to protect and assert intellectual property rights. In this study, we propose the patent document analysis method by using text mining to predict whether the patent is registered or rejected. In the first instance, the proposed method builds the database by using the word frequencies of the rejected patent documents. And comparing the builded database with another patent documents draws the similarity value between each patent document and the database. In this study, we used k-means which is partitioning clustering algorithm to select criteria value of patent rejection. In result, we found conclusion that some patent which similar to rejected patent have strong possibility of rejection. We used U.S.A patent documents about bluetooth technology, solar battery technology and display technology for experiment data.

• KDI Journal of Economic Policy
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• v.14 no.4
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• pp.3-26
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• 1992

The pupose of this paper is to construct a price determination model of the Korean economy and to find out the propogation mechanism of monetary and fiscal policies. The model is a small-size macroeconometric model consisted of ten core equations : consumption, investment, exports, imports, consumer price index, wage rate, corporate bond rate, potential GNP, capital stock, and GNP identity. The model is a Keynesian model : consumer price index is determined by markup over costs, and wage rate is expressed by Phillipse curve ralation. Two features of the model, however, distinguish this model from other macroeconometric models of the Korean economy. First of all, the estimation of potential GNP and the capital stock is endogenized as suggested by Haque, Lahiri, and Montiel (1990). This allows us to calculate the level of excess demand, which is defined as the difference between the actual GNP and the potential GNP. Second, interest rate, inflation and wages are all estimated as endogenous variables. Moreover, all quantity variables include price variables as important determinants. For instance, interest rate is an important determinant of consumption and investment. Exports and imports are determined by the real effective exchange rate. These two features make the interactions between excess demand and prices the driving forces of this model. In the model, any shock which affects quantity variable(s) affects excess demand, which in turn affects prices. This strong interaction between prices and quantities makes the model look like a classical model over the long run. That is, increases in money supply, government expenditures, and exchange rate (the price of the U.S. dollar in terms of Korean won) all have expansionery effects on the real GNP in the short run, but prices, wage, and interest rate all increase as a result. Over the long run, higher prices have dampenning effects on output. Therefore the level of real GNP turns out to be not much different from the baseline level ; on the other hand, the rates of inflation, wage and interest rate remain at higher levels.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.1
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• pp.95-102
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• 2012

The purpose of this study is to investigate antioxidant properties in microbial fermentation products of Lonicera japonica Thunb extract. The bacterium Lactobacillus plantarum NHP1 was isolated from conventional fermented foods. Modern pharmacological studies show that Lonicera japonica Thunb and its active principles of wide pharmacological actions. For instance, they show a strong efficacy in antibacterial, anti-inflammatory, antiviral, anti-endotoxin, blood fat reducing, antipyretic, and antioxidant activities. The extract of Lonicera japonica Thunb was obtained by extracting dried Lonicera japonica Thunb using either hot water or 70% ethanol as a solvent. Fermentation was performed in a 2L fermentor containing 1.2 L of extractat conditions of $30^{\circ}C$ and 100 rpm for 48 hr. The amount of cholorogenic acid was $2.65{\mu}g/g$ in hot water extract. The total phenolic content (GAE, gallic acid equivalent) in hot water and 70% ethanol were $56.5{\pm}4.9$ GAE mg/g and $72.7{\pm}5.3$ GAE mg/g, respectively. After fermentation, the phenolic content increased to 30.2% in hot water and 12.9% in ethanol extract. In the same manner, flavonoid content increased to more than 75% regardless of extract solvent. ABTS (2,2-azino-bis-3-ethylbenzthiazoline-6-sulfonic acid) value noticeably increased to 50% after fermentation.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.1-8
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• 2010

Association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from voluminous transactional data. Certainly, one of the major purposes of association rule mining is utilizing the acquired knowledge to provide marketing strategies such as catalogue design, cross-selling and shop allocation. However, this requires too much time and high cost to only extract the actionable and profitable knowledge from tremendous numbers of discovered patterns. In currently available literature, a number of interest measures have been devised to accelerate and systematize the process of pattern evaluation. Unfortunately, most of such measures, including support and confidence, are prone to yielding impractical results because they are calculated only from the sales frequencies of items. For instance, traditional measures cannot differentiate between the purchases in a small basket and those in a large shopping cart. Therefore, some adjustment should be made to the size of market baskets because there is a strong possibility that mutually irrelevant items could appear together in a large shopping cart. Contrary to the previous approaches, we attempted to consider market basket's size in calculating interest measures. Because the devised measure assigns different weights to individual purchases according to their basket sizes, we expect that the measure can minimize distortion of results caused by accidental patterns. Additionally, we performed intensive computer simulations under various environments, and we performed real case analyses to analyze the correctness and consistency of the devised measure.

• The Journal of Art Theory & Practice
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• no.3
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• pp.85-106
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• 2005

As biennale exhibitions has been expanded into all of the world since 1990s, these trends of blockbuster exhibitions have caused several problems. For instance, some major curators monopolized most global size exhibitions despite of a variety of cultural and historical backgrounds. Besides, due to a strong connection between these curators and their own artists, the young emerging artists' opportunities tend to be reduced as a result of the power game. In addition, major curators' power have influence on the exhibition style as well as on the theme itself. Some artists who did not involved that kind of huge scale exhibitions dispute that the direction of the exhibition is concentrating on the curator's interest instead of artists or viewers. Although these dissatisfactions could not portray correctly the process of organizing and managing system of a biennale exhibition, those biennale exhibitions held in recent have shown tautologic discourses without any passion and positive attitude direct to the exploitation of our society as a vanguard. In the process of comparing several kinds of biennale exhibitions, I could find that some artists who participated several biennale exhibitions at the same time did not present their creative vision, although the triumph of an exhibition was typically measured by the amount of visitors. Thus, the aim of this article is to prove that the biennale can show us new cultural discourse as well as progressive method of understanding our times. Is biennale producing the real 'global standard'? If biennale has done it, could this global standard present upto-date paradigm for the unique exhibition system? Is biennale providing an useful opportunity for the understanding and communicating of contemporary art through the recontextualization which is pronounced by the publicity of curator and organizing committee? How can we find the distinctive strategy from each biennale exhibition including Venice Biennale? Biennale, as a blockbuster exhibition, always requires a degree of hype, otherwise it would not be a special event and would not attract a big enough audience. It is the actual reason why major biennale exhibitions seem to be similar artistic events. Unfortunately, it seems that the excess of biennale exhibitions might bring about the lack of contents. In this case, the biennale syndrome would being a kind of the center of poverty, in spite of the visual splendor. After all, following the global standard may not be a matter of great importance now. What really matters is how each biennale exhibition which started under the different conditions can search their own identity.

• Journal of Korean Theatre Studies Association
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• no.40
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• pp.207-237
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• 2010

Concentrating on the birth, life, and death of the Living Theatre, almost half a century avant-garde group, the primary purpose of this study at large is to explore its counter-cultural philosophy. While taking a chronological form adapting the biological order, the paper focuses on the troupe's productions: , , , , and . Through out these productions the philosophy of the Living Theatre seemed to included communal, anti-intellectual, politically radical, generally Utopian, and proselytizers for sexual freedom. The history of the Living Theatre interestingly parallels the history of the Beck's theatre in occupation and shut down. The first New York theatre was closed by fire inspectors for instance. The second theatre was declared unsafe, and locked up by the Building Department. The third theatre was seized by the IRS, consequently shut down. In 1984, after more than 25years from the third building, the Living Theatre settled once again on East Third Street in Manhattan. The theatre was however evacuated by the New York City Fire Department in 1993 and once more took to the road. With these struggles, the Becks' profound aspiration of the counter-cultural insurgency came to harden as strong as 'iron' in some ways. With the outstanding components of counter-cultural philosophy and style, the Living Theatre, in the course of the transformation, absorbed and then reflected virtually every phase for the Living Theatre were vehicles for more than just aesthetics. The group seemed to propagandize its beliefs rather performing productions. Accordingly, both on and off-stage action of the Living Theatre caused great controversy either through political activism of individual members or through the unconventional collective life style. No avant-garde theatre company was more emblematic of the rebellious spirit of the sixties than the Living Theatre. Like the first great transformation, the Becks' encounter, their personal values and the form of theatre they created had blended 'so inextricably that the vitality of each was dependent on the other.' The Becks always urged unity and harmony at all levels of human life, but not at any price. The anticapitalist ideal inspired the Becks to promote a politically motivated campaign throughout their productions. They believed the revolution is desirable but in the state of non-violence and the expansion of human consciousness. Julian Beck's gravestone identifies his as pet, painter, actor, and anarchist. The Living Theatre was a 'small umbrella' under which the Becks and its members could breath and unfold their dream on stage or in the street.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.681-689
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• 2023

Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system's position resolution is below 1 ~ mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm × 5 cm × 10 cm used our inversion algorithm can be presented below 1× 10⁴ effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeological framework.

• Advances in nano research
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• v.16 no.4
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• pp.325-340
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• 2024

There are several novel uses for dispersing many nanoparticles into a conventional fluid, including dynamic sealing, damping, heat dissipation, microfluidics, and more. Therefore, melting heat and mass transfer characteristics of a 3-D MHD Hybrid Nanofluid flow over a rotating disc with presenting dufour and soret effects are assessed numerically in this study. In this instance, we investigated both ferric sulfate and molybdenum disulfide as nanoparticles suspended within base fluid water. The governing partial differential equations are transformed into linked higher-order non-linear ordinary differential equations by the local similarity transformation. The collection of these deduced equations is then resolved using a Chebyshev spectral collocation-based algorithm built into the Mathematica software. To demonstrate how different instances of hybrid/ nanofluid are impacted by changes in temperature, velocity, and the distribution of nanoparticle concentration, examples of graphical and numerical data are given. For many values of the material parameters, the computational findings are shown. Simulations conducted for different physical parameters in the model show that adding hybrid nanoparticle to the fluid mixture increases heat transfer in comparison to simple nanofluids. It has been identified that hybrid nanoparticles, as opposed to single-type nanoparticles, need to be taken into consideration to create an effective thermal system. Furthermore, porosity lowers the velocities of simple and hybrid nanofluids in both cases. Additionally, results show that the drag force from skin friction causes the nanoparticle fluid to travel more slowly than the hybrid nanoparticle fluid. The findings also demonstrate that suction factors like magnetic and porosity parameters, as well as nanoparticles, raise the skin friction coefficient. Furthermore, It indicates that the outcomes from different flow scenarios correlate and are in strong agreement with the findings from the published literature. Bar chart depictions are altered by changes in flow rates. Moreover, the results confirm doctors' views to prescribe hybrid nanoparticle and particle nanoparticle contents for achalasia patients and also those who suffer from esophageal stricture and tumors. The results of this study can also be applied to the energy generated by the melting disc surface, which has a variety of industrial uses. These include, but are not limited to, the preparation of semiconductor materials, the solidification of magma, the melting of permafrost, and the refreezing of frozen land.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.53-74
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• 2012

A challenge in fostering virtual communities is the continuous supply of knowledge, namely members' willingness to contribute knowledge to their communities. Previous research argues that giving away knowledge eventually causes the possessors of that knowledge to lose their unique value to others, benefiting all except the contributor. Furthermore, communication within virtual communities involves a large number of participants with different social backgrounds and perspectives. The establishment of mutual understanding to comprehend conversations and foster knowledge contribution in virtual communities is inevitably more difficult than face-to-face communication in a small group. In spite of these arguments, evidence suggests that individuals in virtual communities do engage in social behaviors such as knowledge contribution. It is important to understand why individuals provide their valuable knowledge to other community members without a guarantee of returns. In virtual communities, knowledge is inherently rooted in individual members' experiences and expertise. This personal nature of knowledge requires social interactions between virtual community members for knowledge transfer. This study employs the social capital theory in order to account for interpersonal relationship factors and identity theory for individual and group factors that may affect knowledge contribution. First, social capital is the relationship capital which is embedded within the relationships among the participants in a network and available for use when it is needed. Social capital is a productive resource, facilitating individuals' actions for attainment. Nahapiet and Ghoshal (1997) identify three dimensions of social capital and explain theoretically how these dimensions affect the exchange of knowledge. Thus, social capital would be relevant to knowledge contribution in virtual communities. Second, existing research has addressed the importance of identity in facilitating knowledge contribution in a virtual context. Identity in virtual communities has been described as playing a vital role in the establishment of personal reputations and in the recognition of others. For instance, reputation systems that rate participants in terms of the quality of their contributions provide a readily available inventory of experts to knowledge seekers. Despite the growing interest in identities, however, there is little empirical research about how identities in the communities influence knowledge contribution. Therefore, the goal of this study is to better understand knowledge contribution by examining the roles of social capital and identity in virtual communities. Based on a theoretical framework of social capital and identity theory, we develop and test a theoretical model and evaluate our hypotheses. Specifically, we propose three variables such as cohesiveness, reciprocity, and commitment, referring to the social capital theory, as antecedents of knowledge contribution in virtual communities. We further posit that members with a strong identity (self-presentation and group identification) contribute more knowledge to virtual communities. We conducted a field study in order to validate our research model. We collected data from 192 members of virtual communities and used the PLS method to analyse the data. The tests of the measurement model confirm that our data set has appropriate discriminant and convergent validity. The results of testing the structural model show that cohesion, reciprocity, and self-presentation significantly influence knowledge contribution, while commitment and group identification do not significantly influence knowledge contribution. Our findings on cohesion and reciprocity are consistent with the previous literature. Contrary to our expectations, commitment did not significantly affect knowledge contribution in virtual communities. This result may be due to the fact that knowledge contribution was voluntary in the virtual communities in our sample. Another plausible explanation for this result may be the self-selection bias for the survey respondents, who are more likely to contribute their knowledge to virtual communities. The relationship between self-presentation and knowledge contribution was found to be significant in virtual communities, supporting the results of prior literature. Group identification did not significantly affect knowledge contribution in this study, inconsistent with the wealth of research that identifies group identification as an important factor for knowledge sharing. This conflicting result calls for future research that examines the role of group identification in knowledge contribution in virtual communities. This study makes a contribution to theory development in the area of knowledge management in general and virtual communities in particular. For practice, the results of this study identify the circumstances under which individual factors would be effective for motivating knowledge contribution to virtual communities.