• Korea Journal of Hospital Management
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• v.19 no.1
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• pp.43-53
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• 2014

The objective of this research is to survey of knowledge management in hospitals and to search the factors to impact the knowledge sharing and innovation behavior among employees. The data is collected with hospital employees by questionnaire method. Total number of analysis is 779 cases, and the collected data is analyzed by SEM(structural equation model). The work performance(WP) make influence the innovation behavior(IB) through knowledge sharing(KS) intention. The KS intention and IB are different in sex, age, education, work duration and work level. But, WP is different only in sex. The only personnel and organizational factors to affect KS intention, WP and IB are reciprocity(in personnel factor) and trust(in organization factor). Those factors mean the mental or psychological relationship among employees. So, to make more developed knowledge management in hospitals is to need more personal relationship than any other system management or incentives.

• Journal of Power Electronics
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• v.19 no.6
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• pp.1575-1581
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• 2019

Due to the mismatched line impedance among distributed generation units (DGs) and uncontrolled harmonic current, the droop controller has a number of problems such as inaccurate reactive power sharing and voltage distortion at the point of common coupling (PCC). To solve these problems, this paper proposes a resistive-capacitive virtual impedance control method. The proposed control method modifies the DG output impedance at the fundamental and harmonic frequencies to compensate the mismatched line impedance among DGs and to regulate the harmonic current. Finally, reactive power sharing is accurately achieved, and the PCC voltage distortion is compensated. In addition, adaptively controlling the virtual impedance guarantees compensation performance in spite of load changes. The effectiveness of the proposed control method was verified by experimental results.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1157-1169
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• 2021

Modern graphics processor unit (GPU) architectures offer significant hardware resource enhancements for parallel computing. However, without software optimization, GPUs continuously exhibit hardware resource underutilization. In this paper, we indicate the need to alter different warp scheduler schemes during different kernel execution periods to improve resource utilization. Existing warp schedulers cannot be aware of the kernel progress to provide an effective scheduling policy. In addition, we identified the potential for improving resource utilization for multiple-warp-scheduler GPUs by sharing stalling warps with selected warp schedulers. To address the efficiency issue of the present GPU, we coordinated the kernel-aware warp scheduler and warp sharing mechanism (KAWS). The proposed warp scheduler acknowledges the execution progress of the running kernel to adapt to a more effective scheduling policy when the kernel progress attains a point of resource underutilization. Meanwhile, the warp-sharing mechanism distributes stalling warps to different warp schedulers wherein the execution pipeline unit is ready. Our design achieves performance that is on an average higher than that of the traditional warp scheduler by 7.97% and employs marginal additional hardware overhead.

• Journal of Distribution Science
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• v.20 no.4
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• pp.85-94
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• 2022

Purpose: Previous research has found that organizational performance pressures and barriers have an effect on the long-term viability of Micro, Small, and Medium Enterprises (MSMEs). Furthermore, MSMEs' intellectual capital and strategic orientation, according to recent research findings, have an impact on this. The goal of this study is to see how intellectual capital and strategic orientation affect MSMEs' performance. Research design, data and methodology: The performance of MSMEs is the dependent variable, with intellectual capital, market orientation, learning orientation, and technical orientation as independent factors. With a sample size of 113 respondents, this research focused on information technology-based MSMEs in Indonesia's Solo Raya area. Data was analyzed use Confirmatory Factor Analysis for the reliability test and path analysis SEM. Results: The interaction between intellectual capital and strategic orientation in respect to MSMEs' performance reveals that innovation capability serves as a partial mediator in the relationship between intellectual capital and technical orientation and organization performance. Conclusions: In general, intellectual capital and strategic orientation have a positive substantial influence on innovation, according to the findings. Furthermore, they have a considerable favorable influence on the performance of MSMEs. It's just that intellectual capital has no discernible impact on knowledge sharing.

• Journal of Labour Economics
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• v.41 no.4
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• pp.63-105
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• 2018

This paper analyzes the effects of three factors on the firm-size wage premium which have not been considered in previous studies: the worker compositions within firms, the wage differentials between contractors and subcontractors, and the performance pay and rent-sharing behaviors of firms. The main results are as follows. First, even after controlling for the various worker characteristics, the differences in shares of highly educated workers, managers, and professionals between large and small firms make the size-wage premium larger. Secondly, wage differentials between contractors and subcontractors also affect the size-wage premium in the manufacturing sector. Thirdly, high performance pay and active rent-sharing behaviors of large manufacturing firms make the size-wage premium larger. These results imply that a positive matching effect among skilled workers, a structural problem between contractors and subcontractors, and differences in rent-sharing behaviors between large and small firms have affected the firm-size wage premium in the South Korean labor market.

• Journal of Korea Multimedia Society
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• v.7 no.2
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• pp.264-271
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• 2004

A load-sharing algorithm must deal with load imbalance caused by characteristics of a network and heterogeneity of nodes in Internet-based clustering systems. This paper has proposed the Efficient Load-Sharing algorithm. Efficient-Load-Sharing algorithm creates a scheduler based on the WF(Weighted Factoring) algorithm and then allocates tasks by an adaptive granularity strategy and the refined fixed granularity algorithm for better performance. In this paper, adaptive granularity strategy is that master node allocates tasks of relatively slower node to faster node and refined fixed granularity algorithm is to overlap between the time spent by slave nodes on computation and the time spent for network communication. For the simulation, the matrix multiplication using PVM is performed on the heterogeneous clustering environment which consists of two different networks. Compared to other algorithms such as Send, GSS and Weighted Factoring, the proposed algorithm results in an improvement of performance by 75%, 79% and 17%, respectively.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.101-127
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• 2016

Irrational ordering decisions of supply chain members have been gaining growing importance in the area of supply chain management. Irrational ordering behaviors that deviate from the profit maximizing decisions in the newsvendor settings have observed with human experiments in recent research. These behaviors can be modeled with several typical decision bias elements. This bias in ordering decisions affects the performance of supply chain contracts designed based on the assumption that the supply chain members make optimal decisions, making it necessary to design supply chain contracts by considering the irrationality. The purpose of this research is to derive a method to design the revenue sharing contract that considers human irrationality in ordering decisions. This research considers a simple two-echelon supply chain consisting of one supplier and one retailer, where the supplier is assumed to be perfectly rational while the retailer making newsvendor type ordering decisions displays irrational ordering behaviors. Under this environment, this research analytically models the revenue sharing contract to maximize the total supply chain profit or the supplier's own profits while considering the three decision bias patterns of the retailer, which include the pull-to-center effect, the prospect theory, and the increased subjective sensitivity to the revenue sharing ratio. Irrationality parameters are measured through human experiments based on which and through numerical simulations, we showed that significant improvements in the supply chain performance can be achieved.

• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.748-755
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• 2015

In this paper, sharing based admission control scheme is suggested for both service differentiation and improvement of wavelength utilization efficiency in burst switching networks. To provide service differentiation and high wavelength utilization efficiency, some of the wavelengths on a output link are shared with all classes and the others are used for the highest class exclusively. Markov based analysis is applied to the suggested scheme for the performance analysis and the numerical results are derived. The results are: The performance of lower traffic is more improved by the more number of shared wavelengths in case that the higher traffic or lower traffic is arrived equally or that the input rate of lower traffic is low. Another result is that the sharing effect of wavelengths is a little bit lowered when lower traffic passes the threshold.

• Journal of Engineering Education Research
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• v.19 no.3
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• pp.3-12
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• 2016

The purpose of this study was to examine the current states of role model and effects on the expertise development in engineers (i.e., undergraduate students and experts in the field of engineering). Based on the previous studies, role model was categorized into two domain, general role model and value sharing role model. A total of 257 participants (162 undergraduate students, 95 experts) answered survey questions about their role model (the number of their role model, the frequency of meeting with them, and the number of sharing value with them), major confidence, knowledge acquisition, and research performance. The results showed that engineers had 1 or 2 general role models and that the contents of role model were different between the two groups. The value-sharing role model significantly predicted major confidence and research performance in undergraduate students whereas the number of general role model was closely associated with major satisfaction in experts. These results suggest that it is important for engineering major students to have general role model and value-sharing role model in order to enhance expertise development. Establishing infrastructure for having and meeting with role models can facilitate the development of personal expertise in engineers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1489-1497
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• 2011

As a way for defending against cyber security threats, there has been a research on cybersecurity information exchange between security management domains in order to raise security performance of the whole network. One of the hottest issues in exchanging cybersecurity information between security management domains is that the requirements of those domains on information sharing are different with each other because each is autonomous domain. This paper proposes a mechanism for effective cybersecurity Information exchange between independent security management domains, which can satisfy their requirements on information sharing through sharing policy and sharing policy control protocol, proposed in this paper. In this paper we have developed an integrated security control system that supports the proposed mechanism. Through the system the performance of the proposed mechanism is measured and evaluated.