• Journal of Technology Innovation
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• v.14 no.2
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• pp.183-199
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• 2006

This paper explores multi-technology capabilities between Korea and Taiwan by analyzing the pattern of inventive activities concerning technology fusion by using patent bibliometrics. Although two countries exhibit a similar level of invention activities and high degree of specialization in emerging technologies measured by the number and technological fields of their US patents, innovation systems in two countries differ. MTCs (multi-technology corporations) are stronger in Korea national innovation system while small innovative firms play important roles in Taiwan national innovation system. Technology fusion has been an important source of technological innovation and it suggests possible advantage for the Korean innovation system because it is a common belief that global size firms - most of them are multi-technology corporations - can perform better in multi-technology fusion and scientific research. The result of patent bibliometrics suggests rather complex answers to the belief Even though Korea shows slight advantage, it may not be ascribed to the large MTCs.

• Journal of Korea Trade
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• v.27 no.5
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• pp.91-112
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• 2023

Purpose - This study empirically investigates how the effects of localized knowledge spillovers on technology adoption are conditional on the organizational capabilities of potential adopters. Design/methodology - The empirical model utilized in this study examines how the presence of prior adopters of advanced manufacturing technologies affects a plant's technology adoption decision differently based on its organizational capabilities, measured by plant size and plant status (single-plant firm vs. multi-plant firm). Moreover, this study investigates how the scope of knowledge spillovers from prior adopters, both in terms of geographical and functional proximities, differ for plants with different organizational capabilities. Findings - The main findings of this study are as follows: 1. Although plants with lower organizational capabilities are less likely to adopt advanced technologies, such plants receive greater marginal benefits from knowledge spillovers from prior adopters in their region. 2. Plants with greater organizational capabilities can benefit from knowledge spillovers from a wider set of prior adopters. In other words, while plants with lower organizational capabilities tend to benefit from knowledge spillovers from "similar" and "local" adopters, plants with greater organizational capabilities can also benefit from knowledge spillovers from "not-too-similar" or are geographically distant prior adopters. Originality/value - While existing studies mainly focus on the effects of the various kinds of regional agglomeration, few studies investigate localized knowledge spillovers in technology adoption. Moreover, no prior studies have explored how the effects of knowledge spillovers on technology adoption depend on a plant's organizational capabilities and how the scope of knowledge spillovers differs for plants with different organizational capabilities. This study is the first to empirically investigate this topic.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.2
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• pp.16-22
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• 2008

So far, Korean command post vehicles(CPs) have used voice-only radio communication among the mechanized troop units such MBTs and IFVs, etc. But digital data communication technology should be introduced to improve mission success capabilities and accommodate integrated combat capabilities through increasing SA(situation Awareness), or spatiotemporal synchronization of military operation in battle field environment. Therefore, conventional CPs, which have been operated without digital network, urgently needs to mount a battle management system which furnish with tactical information network, considering that korean new MBTs or new IFVs will be fielded soon. This study suggests some performance enhancement method which might be applicable to CPs which have a role of connecting Battalion unit to Brigade C4I system.

• Structural Engineering and Mechanics
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• v.43 no.4
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• pp.411-437
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• 2012

In this paper, we propose a continuum mechanics based 3-D beam finite element with cross-sectional discretization allowing for warping displacements. The beam element is directly derived from the assemblage of 3-D solid elements, and this approach results in inherently advanced modeling capabilities of the beam element. In the beam formulation, warping is fully coupled with bending, shearing, and stretching. Consequently, the proposed beam elements can consider free and constrained warping conditions, eccentricities, curved geometries, varying sections, as well as arbitrary cross-sections (including thin/thick-walled, open/closed, and single/multi-cell cross-sections). We then study the modeling and predictive capabilities of the beam elements in twisting beam problems according to geometries, boundary conditions, and cross-sectional meshes. The results are compared with reference solutions obtained by analytical methods and solid and shell finite element models. Excellent modeling capabilities and solution accuracy of the proposed beam element are observed.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.1-21
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• 2008

We attempt to make regional innovative capability indices for overall understanding of regional innovation. We'll analyze various indicators on it using fuzzy set theory and compare regional innovative capabilities of 16 regions in Korea. The fuzzy set theory can reflect more normally the uncertainty of the stakeholder's responses than other decision making analysis methods. The overall results suggest that experts on regional innovation rank GRDP most important and Daejeon is the most innovative region. Building up regional innovative capabilities should be made for more balanced national land development.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.397-419
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• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

• ETRI Journal
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• v.43 no.3
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• pp.524-537
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• 2021

High-performance Linpack (HPL) is among the most popular benchmarks for evaluating the capabilities of computing systems and has been used as a standard to compare the performance of computing systems since the early 1980s. In the initial system-design stage, it is critical to estimate the capabilities of a system quickly and accurately. However, the original HPL mathematical model based on a single core and single communication layer yields varying accuracy for modern processors and accelerators comprising large numbers of cores. To reduce the performance-estimation gap between the HPL model and an actual system, we propose a mathematical model for multi-communication layered HPL. The effectiveness of the proposed model is evaluated by applying it to a GPU cluster and well-known systems. The results reveal performance differences of 1.1% on a single GPU. The GPU cluster and well-known large system show 5.5% and 4.1% differences on average, respectively. Compared to the original HPL model, the proposed multi-communication layered HPL model provides performance estimates within a few seconds and a smaller error range from the processor/accelerator level to the large system level.

• Proceedings of the International Microelectronics And Packaging Society Conference
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• 2000.04a
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• pp.35-40
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• 2000

MCM technology languished troughout most of the 1990's due to high costs resulting from low yields and issues with known god die. During the last five years of the decade new developments in chip scale packages and high density, build up multi-layer printed wiring boards created new opportunities to design and produce ultra miniaturized modules using conventional surface mount manufacturing capabilities. Focus on the miniaturization of substrate based packages such as ball grid arrays (BGAs) resulted in chip scale packages (CSPs) offering many of the benefits of flip chip along with the handling, testing, manufacturing and reliability capabilities of packaged deviced. New developments in the PWB industry sought to reduce the size, weight, thickness and cost of high density interconnect (HDI) substrates. Shrinking geometries of vias and new constructions significantly increased the interconnect density available for MCM-L applications. This paper describes the most promising CSP and HDI technologies for portable products, high performance computing and dense multi-chip modules.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.93-98
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• 2011

Spurred by the advent of ITS and WAVE (Wireless access in vehicular environments) as well as the wide-spread use of smart phones, WMN technology is considered to be a promising technology for extending the Internet access coverage supported by the IEEE802.11 based access points. In this paper, we propose a new MAC protocol which can efficiently utilize the multi-interface multi-channel communication capabilities supposedly equipped in most mesh routers, thereby increasing the network throughput considerably. We also verified its performance through computer simulations.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.240-257
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• 2023

The industrial Internet of Things (IIoT) is characterized by intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. The heterogeneous IIoT devices require a high data rate, high reliability, high coverage, and low delay, thus posing a significant challenge to information security. High-performance edge and cloud servers are a good backup solution for IIoT devices with limited capabilities. However, privacy leakage and network attack cases may occur in heterogeneous IIoT environments. Cloud-based multi-party computing is a reliable privacy-protecting technology that encourages multiparty participation in joint computing without privacy disclosure. However, the default cloud selection method does not meet the heterogeneous IIoT requirements. The server can be dishonest, significantly increasing the probability of multi-party computation failure or inefficiency. This paper proposes a blockchain and smart contract-based optimized cloud node selection framework. Different participants choose the best server that meets their performance demands, considering the communication delay. Smart contracts provide a progressive request mechanism to increase participation. The simulation results show that our framework improves overall multi-party computing efficiency by up to 44.73%.