• IEMEK Journal of Embedded Systems and Applications
• /
• v.16 no.5
• /
• pp.225-232
• /
• 2021

Deraining is one of the image restoration tasks and should consider a tradeoff between local details and broad contextual information while recovering images. Current studies adopt an attention mechanism which has been actively researched in natural language processing to deal with both global and local features. This paper classifies existing deraining methods and provides comparative analysis and performance comparison by using several datasets in terms of generalization.

• Journal of Digital Convergence
• /
• v.13 no.11
• /
• pp.99-108
• /
• 2015

The aim of this research is to investigate empirically the interrelationship among emotional labor strategies, frontline employee creativity, service performance, and specifically examines the mediating effect of employee creativity in the relationship between emotional labor strategies and service performance in the context of bank industry. The data were collected from frontline employees of banks in Daegu and Gyeongnam. A total of 484 questionnaires were used for the final analysis. Consistent with hypotheses, the results of analysis show that surface acting has a negative effect on employee creativity, while deep acting has a positive effect on employee creativity, and employee creativity has a positive effect on service performance. Furthermore, employee creativity has mediating effect in the relationship between emotional labor strategies-performance.

• Journal of Korea Port Economic Association
• /
• v.30 no.3
• /
• pp.187-207
• /
• 2014

The purpose of this paper is to examine the business performance difference based on the ownership structure type in the aspect of profitability and stability. In order to conduct this analysis in two aspects, the ship financial institutions have been classified into two groups: state-owned banks and private-owned banks. First of all, the difference of ROE and ROA between private and public ship financial institutions is statistically significant, but no difference has been shown in terms of stability measured through BIS capital adequacy ratio. Second, to test the business performance difference according to the ownership structure types before and after the global financial crisis, we examined the outcome difference in the ship financial institutions in terms of profitability and stability. However, in the event that the analysis was conducted with public and private financial institutions, the business outcome difference before and after the global financial crisis has been shown in the sector of private financial institutions, but has not been shown in the sector of public financial institutions. It is meaningful that this study is the first work which examined the difference of the operating performance by the ownership structure types of ship financial institutions. However, it is noted that small sample for this empirical study is a limitation of this thesis.

• Journal of Korean Society for Quality Management
• /
• v.37 no.1
• /
• pp.1-9
• /
• 2009

Data envelopment analysis(DEA) has proved to be powerful for benchmarking and has been widely used in a variety of settings since the advent of it. DEA can be used in identifying the best performing units to be benchmarked against as well as in providing actionable measure for improvement of a organization's performance. However, the selection of performance benchmarks is a matter of both technical production possibilities and organizational policy considerations, managerial preferences and external restrictions. In that regards, DEA has a limited value in benchmarking because it focuses on only technical production Possibilities. This research proposes a new perspective in using DEA and a frame-work for benchmarking to select benchmarks that are both feasible and desirable in terms of organizational context. To do this, the concept of local and global efficiency is newly proposed. To show how useful the suggested concept and framework are, a case study is addressed.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.10 no.3
• /
• pp.401-411
• /
• 1999

IMT-2000 will provide worldwide mobile telecommunication services with the extended coverage areas such as polar regions and mountainous district. GMPCS also provides global telephony and paging services via satellite network at the altitude of 500~12,000 km. "Big LEO" which is one of the GMPCS systems using frequency above 1 GHz and IMT-2000 will share the frequency range of 1 to 3 GHz. Therefore, there exists possible interference between the two systems which can cause the performance degradation of both systems. In this paper, the radio-propagation modeling and interference analysis methods are presented and these methods are used to analyse the effect of the interference between IMT-2000 and GMPCS on system performance.rformance.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.6
• /
• pp.37-46
• /
• 2021

Purpose: The international business is affected by significant cultural factors that may impediment the operation and the ultimate performance of a business organization. The current study aims to investigate prior literatures works to find cross-cultural discrepancies such as the cultural distance that impacts international companies' operations and management and develop appropriate strategies for realizing high performance while overcoming these challenges. Research design, data and methodology: To find the required sources, the study employed the use of secondary data. Different search strategies were used to find the necessary materials from various sources. The data composed of an extensive review from multiple peer-reviewed journals and other existing research. Results: Based on literature analysis, the current study suggests novel seven strategies for multinational organizations. As a result, this study provides various pieces of literature to deduce meaningful information on the appropriate business strategies that a company can use to bridge the gap of the limitations of cross-cultural impacts on international businesses. Conclusion: An organization moving into a new cultural environment faces challenges including tastes and preferences, norms, language barriers, and beliefs. Organizations, therefore, have to devise the best strategies to align themselves with the prevailing cultural conditions to reap the benefits of internationalization.

• Nuclear Engineering and Technology
• /
• v.54 no.11
• /
• pp.4181-4194
• /
• 2022

Main steam safety valves are commonly used in nuclear power plants to provide final protections from overpressure events. Blowdown and dynamic stability are two critical characteristics of safety valves. However, due to the parameter sensitivity and multi-parameter features of safety valves, using traditional method to design and/or optimize them is generally difficult and/or inefficient. To overcome these problems, a surrogate model-based valve design optimization is carried out in this study, of particular interest are methods of valve surrogate modeling, valve parameters global sensitivity analysis and valve performance optimization. To construct the surrogate model, Design of Experiments (DoE) and Computational Fluid Dynamics (CFD) simulations of the safety valve were performed successively, thereby an ensemble surrogate model (E-AHF) was built for valve blowdown and stability predictions. With the developed E-AHF model, global sensitivity analysis (GSA) on the valve parameters was performed, thereby five primary parameters that affect valve performance were identified. Finally, the k-sigma method is used to conduct the robust optimization on the valve. After optimization, the valve remains stable, the minimum blowdown of the safety valve is reduced greatly from 13.30% to 2.70%, and the corresponding variance is reduced from 1.04 to 0.65 as well, confirming the feasibility and effectiveness of the optimization method proposed in this paper.

• International Journal of Advanced Culture Technology
• /
• v.12 no.2
• /
• pp.167-179
• /
• 2024

This study addresses the challenge of objectively evaluating the performance of early-stage startups amidst limited information and uncertainty. Focusing on companies selected by TIPS, a leading private sector-driven startup support policy in Korea, the research develops a new indicator to assess technological efficiency. By analyzing various input and output variables collected from Crunchbase and KIND (Korea Investor's Network for Disclosure System) databases, including technology use metrics, patents, and Crunchbase rankings, the study derives technological efficiency for TIPS-selected startups. A prediction model is then developed utilizing machine learning techniques such as Random Forest and boosting (XGBoost) to classify startups into efficiency percentiles (10th, 30th, and 50th). The results indicate that prediction accuracy improves with higher percentiles based on the technical efficiency index, providing valuable insights for evaluating and predicting startup performance in early markets characterized by information scarcity and uncertainty. Future research directions should focus on assessing growth potential and sustainability using the developed classification and prediction models, aiding investors in making data-driven investment decisions and contributing to the development of the early startup ecosystem.

• Journal of Communications and Networks
• /
• v.13 no.6
• /
• pp.591-601
• /
• 2011

Today's Internet which provides communication channels with best-effort end-to-end performance is rapidly evolving into an autonomic global computing platform. Achieving autonomicity in the Future Internet will require a performance architecture that (a) allows users to request and own 'slices' of geographically-distributed host and network resources, (b) measures and monitors end-to-end host and network status, (c) enables analysis of the measurements within expert systems, and (d) provides performance intelligence in a timely manner for application adaptations to improve performance and scalability. We describe the requirements and design of one such "Future Internet performance architecture" (FIPA), and present our reference implementation of FIPA called 'OnTimeMeasure.' OnTimeMeasure comprises of several measurement-related services that can interact with each other and with existing measurement frameworks to enable performance intelligence. We also explain our OnTimeMeasure deployment in the global environment for network innovations (GENI) infrastructure collaborative research initiative to build a sliceable Future Internet. Further, we present an applicationad-aptation case study in GENI that uses OnTimeMeasure-enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider in the Future Internet can use the performance intelligence to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience.

• Journal of Information Technology Applications and Management
• /
• v.21 no.4
• /
• pp.65-96
• /
• 2014

To have global competitiveness in newly growing industry, good quality R&D's in convergence technology arerequired. Korean government also started to emphasize the importance of convergence technology as a new engine of growth for the future development. Since 2008, worldwide energy crisis and concerns on low carbon green growth made people focus on the convergence between information technology (IT) and energy technology (ET). However, the R&D performance comparison among the convergence technologies is not well explored so far. Therefore, this study uses Korea's patent citation database to measure the R&D performance of convergence technologies. We adopt technology development cycle, technology spillover analysis, and technology diffusion analysis to see the knowledge flow from R&D industry to others. We find that IT_ET convergence technology generally shows higher R&D performance than other convergence technologies. Contrary to public belief, convergence R&D by big companies has relatively low performance especially measures in technology spillover and technology diffusion. This implies that they might concentrate on delicate Fuel Cell Energy/Environment Technology (FEIT) or Nano Environment/Energy Information Technology (NEIT) rather than general energy information technologies. We also find that Korea's chemical industry may play a crucial role for the growth of other convergence technologies.