• Health Policy and Management
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• v.33 no.4
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• pp.379-388
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• 2023

This study aims to propose the implementation of innovative payment models in Korea in order to promote the financial sustainability of the national health insurance system by reviewing the current status of the payment system in Korea and examining other countries' experiences with various innovative payment models. Korea primarily uses a fee-for-service payment system and additionally uses various payment systems such as case payment, per diem, and pay-for-performance. However, each payment system has its limitations. Many OECD (Organization for Economic Cooperation and Development) countries have pointed out the limitations of existing payment systems and have been attempting various innovative payment models (e.g., add-on payment, bundled payment, and population-based payment). Therefore, it is essential for Korea to consider innovative payment models, such as a mixed payment model that takes into account the strengths and weaknesses of each payment system, and to design and pilot these models. This process requires stakeholders to work together to build a social consensus on the implementation of innovative payment systems and to refine legal and systematic aspects, develop an integrated health information system, and establish dedicated organizations and committees. These efforts towards innovative payment models will contribute to developing a sustainable health insurance system that ensures the public's health and well-being in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.59-71
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• 2020

This study is empirically intended to look into the effects of smart factory technologies on quality and innovation performance in small and medium-sized Enterprises(SMEs). The research results are as follows. Device and application technologies for smart factory had a positive effect on the information quality and system quality, while platform technologies had an insignificant effect on the information quality and system quality, rejecting the effect of platform technologies for smart factory on information quality and system quality. Device technologies for smart factory had also a significant effect on innovative performance, while platform and application technologies had an insignificant effect on innovative performance, rejecting the effect of platform and application technologies for smart factory on innovative performance. The system quality had a significant effect on innovative performance, while the information quality had an insignificant effect on innovative performance. The quality played a partial mediating role in the effect of device technologies for smart factory on innovative performance. These results indicate that small and medium-sized venture firms should implement a high standard of information quality management(IQM) through interconnection as the kernel of a smart factory in the 4th revolutionary era, and that they can improve their corporate performance through the interlocking between components from manufacturing design to execution and analysis and the integrated management of systematic information collected from devices if necessary.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.1036-1041
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• 2008

Double facade systems are often paid attention of as an effective energy saving measure for curtain wall buildings. However, it is not easy to install the system in existing buildings and requires substantial investment. An innovative double window system is proposed in this study which can be installed with exiting window systems in a cost effective way. the proposed system is connected to existing return ducts to make airflow between the existing window and the newly installed window. To ensure the best performance of the proposed system, simulation-based analysis was implemented in which airflow characteristics of inside double window were examined according to air pressures of return duct and window material by using computer simulation ESP-r. the overview of the proposed system and the results of the simulation-based analysis are presented in this paper.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.1
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• pp.1-14
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• 2023

To secure national future competitiveness, the Korean government announced the 『National Ultra-High Performance Computing (HPC) Innovation Strategy (2021.5.28.)』 and set three innovation strategy goals throughout establishing an innovation ecosystem. This study presented a heterogenous data-based strategic support framework that allowed to understand both the current status of domestic & foreign R&D areas and domestic industrial economy areas in terms of strategic fields related to ultra-high performance computing, and the empirical research was conducted in the life science and public health area. The HPC innovation ecosystem platform based on the connection of heterogeneous data (domestic R&D project-technology-industry-overseas R&D project) presented in this study provided useful and essential information that allowed establishing a specific action plan for the national HPC innovation strategy and contributing to vitalizing the innovation ecosystem. Since the evidence-based policy assumes that a more reasonable consensus is reached through a non-biased decision- making process among stakeholders, the proposed platform may contribute to enhancing policy momentum by increasing legitimacy and trust of planning of the national HPC strategy.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.146-173
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• 2014

Extant studies have explained that firm's innovations including technological product and process innovations contribute to its competitive advantage and growth, thereby supporting competitiveness and growth of industry. These studies, however, have focused mainly on the role and effect of technological change that is primarily measured by the patent numbers and R&D intensity. Aside from these traditional streams, there has been growing interest on the impact by various dimensions of innovation including non-technological innovations. Apart from the discussions on the dimensions and scope of innovation, stages or processes of innovation also have been studied. Extant studies on innovation process model, however, has limited its interests in the structure of the transformation of knowledge. This study have established a comprehensive model embracing operational and financial performance to investigate the causal paths between innovation and firm performance. Using multi-level generalized linear model with path analysis, this study have found results as follows: First, the processes from innovative activities to innovation output and outcomes including operational and financial performance at firm level were verified. Secondly, the influence of innovation decreases gradually as the distance away from the direct outputs of the innovation increase in the direction of financial outcomes. Third, the effect of innovation on the sales growth rate is higher for small businesses than for medium-sized businesses. The effect of innovation on the profit rate, however, is significant only for medium-sized businesses. For large businesses, innovation has no positive significant impact on any financial performance at all. Fourth, Fourth, the appropriability of innovation has positive impacts on innovative performance, patent applications, and operational performance.

• ETRI Journal
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• v.30 no.1
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• pp.113-128
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• 2008

Turbo codes are extensively used in current communications standards and have a promising outlook for future generations. The advantages of software defined radio, especially dynamic reconfiguration, make it very attractive in this multi-standard scenario. However, the complex and power consuming implementation of the maximum a posteriori (MAP) algorithm, employed by turbo decoders, sets hurdles to this goal. This work introduces an ASIP architecture for the MAP algorithm, based on a dual-clustered VLIW processor. It displays the good performance of application specific designs along with the versatility of processors, which makes it compliant with leading edge standards. The machine deals with multi-operand instructions in an innovative way, the fetching and assertion of data is serialized and the addressing is automatized and transparent for the programmer. The performance-area trade-off of the proposed architecture achieves a throughput of 8 cycles per symbol with very low power dissipation.

• Journal of the Korean Society of Costume
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• v.65 no.6
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• pp.133-147
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• 2015

The aim of this study is to review the creative fashion installation of Henrik Vibskov, Danish designer. Its intention is to contribute useful information for more innovative fashion presentation. As a research method, document and case study were performed and his collections from 2004 F/W to 2016 S/S were analyzed. In fashion installation, the designer puts objects in meaningful spaces in order to convey a certain message, to make an integrated artwork, and to interact with spectator. It has been used in fashion exhibitions, as well as in the set design of fashion performance and fashion show. The results were as follows. Henrik Vibskov's fashion installation has three features, which are 1)conceptual theme approach that communicates a twisted and metaphoric message, with a poetic and interesting show title, 2) surrealistic scenography that plays with fragmentation of the human body, clustering of plastic and symbolic objects, innovative color transformations, and visual trickery between figures and the background, and 3) setting for multisensory performance that makes spectators interact by making artistic objects and surroundings, which stimulates the five senses. Henrik Vibskov's fashion installation can exist as an independent artwork, and not just as a supporting piece for a fashion show. It has both artistic and fashionable values, and can be an effective fashion presentation communicating his conceptual fashion themes.

• IE interfaces
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• v.24 no.2
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• pp.97-104
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• 2011

Research for multi-variate classification has been studied through two kinds of procedures which are feature selection and classification. Feature Selection techniques have been applied to select important features and the other one has improved classification performances through classifier applications. In general, each technique has been independently studied, however consideration of the interaction between both procedures has not been widely explored which leads to a degraded performance. In this paper, through integrating these two procedures, classification performance can be improved. The proposed model takes advantage of KBANN (Knowledge-Based Artificial Neural Network) which uses prior knowledge to learn NN (Neural Network) as training information. Each NN learns characteristics of the Feature Selection and Classification techniques as training sets. The integrated NN can be learned again to modify features appropriately and enhance classification performance. This innovative technique is called ALBNN (Algorithm Learning-Based Neural Network). The experiments' results show improved performance in various classification problems.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1367-1379
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• 2020

The small modular sodium-cooled fast reactor (SMSFR) is an important component of Generation-IV reactors. The objective of this work is to improve the reactivity control in SMSFR by using innovative systems, including burnable poisons and optimized control rods. SMSFR with MOX fuel usually exhibits high burnup reactivity loss that leads to high excess reactivity and potential fuel melting in control rod withdrawal (CRW) accidents, which becomes an important constraint on the safety and economic efficiency of SMSFR. This work applies two types of burnable poisons in a SMSFR to reduce the excess reactivity. The first one homogenously loads minor actinides in the fuel. The second one combines absorber and moderators in specific assemblies. The influence of burnable poisons on the core characteristics is discussed and integrated into the analysis of CRW accidents. The results show that burnable poisons improve the safety performance of the core in a significant way. Burnable poisons also lessen the demand for the number, absorption ability, and insertion depth of control rods. Two optimized control rod designs with rare earth oxides (Eu₂O₃ and Gd₂O₃) and moderators are compared to the conventional design with natural boron carbide (B₄C). The optimized designs show improved neutronic and safety performance.

• Smart Structures and Systems
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• v.30 no.3
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• pp.327-332
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• 2022

In building envelope, transparent components play an important role. The structural glazing systems are the weak element of the casing in terms of mechanical resistance, thermal and acoustic insulation. In the present work, new structural glass panels with granular aerogel in interspace were investigated from different points of view. In particular, the mechanical characterization was carried out in order to assess the resistance to bending of the single glazing pane. To this end, a special instrument system was built to define an alternative configuration of the coaxial double ring test, able to predict the fracture strength of glass large samples (400 × 400 mm) without overpressure. The thermal and lighting performance of an innovative double-glazing façade with granular aerogel was evaluated. An experimental campaign at pilot scale was developed: it is composed of two boxes of about 1.60 × 2 m² and 2 m high together with an external weather station. The rooms, identical in terms of size, construction materials, and orientation, are equipped with a two-wing window in the south wall surface: the first one has a standard glazing solution (double glazing with air in interspace), the second room is equipped with the innovative double-glazing system with aerogel. The indoor mean air temperature and the surface temperature of the glass panes were monitored together with the illuminance data for the lighting characterization. Finally, a brief energy characterization of the performance of the material was carried out by means of dynamic simulation models when the proposed solution is applied to real case studies.