• Korean Journal of Social Welfare
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• v.63 no.1
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• pp.57-84
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• 2011

This study aims to analyze a whole network effectiveness by expanding the unit of analysis beyond individual organizations in a network into network-level collaborative relations. Data for the analysis were drawn from the evaluation reports and surveys of leaders, mid-level managers, and staff members of the organizations participating in 'Community Network Building' project which was funded by Community Chest of Korea and carried out by the Academy of Korean Social Welfare Administration from November 2006 to November 2009. For the analysis, three out of the 10 networks established in diverse local communities were selected. Based on the survey conducted on the participating organizations and the center organization of each network, we analyzed the structural characteristics of interorganizational network at a network-level. Second, to analyze effectiveness of the whole network, we employed a multiple stakeholders perspective and examined the relations between the whole network's structure and its effectiveness. The findings showed that the whole network effectiveness is higher when the network is more centralized around the hub organization and more stable. The significance of this study is that it is provided and tested a new framework for network effectiveness evaluation by combining the two network effectiveness evaluation framework of Provan and Milward's with evolutionary organizational theory.

• Journal of Korean Academy of Nursing
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• v.44 no.2
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• pp.129-138
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• 2014

Purpose: To develop a Critical Thinking Skill Test for Nursing Students. Methods: The construct concepts were drawn from a literature review and in-depth interviews with hospital nurses and surveys were conducted among students (n=607) from nursing colleges. The data were collected from September 13 to November 23, 2012 and analyzed using the SAS program, 9.2 version. The KR 20 coefficient for reliability, difficulty index, discrimination index, item-total correlation and known group technique for validity were performed. Results: Four domains and 27 skills were identified and 35 multiple choice items were developed. Thirty multiple choice items which had scores higher than .80 on the content validity index were selected for the pre test. From the analysis of the pre test data, a modified 30 items were selected for the main test. In the main test, the KR 20 coefficient was .70 and Corrected Item-Total Correlations range was .11-.38. There was a statistically significant difference between two academic systems (p=.001). Conclusion: The developed instrument is the first critical thinking skill test reflecting nursing perspectives in hospital settings and is expected to be utilized as a tool which contributes to improvement of the critical thinking ability of nursing students.

• Journal of Convergence Society for SMB
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• v.3 no.1
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• pp.1-6
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• 2013

As the important of software quality has being emphasized, the studies on software architecture also have being performed actively. On the other hand, due to the diversification of Smartphone platforms, the effort was increased to develop the application for supporting those multiple platforms. However several solutions are suggested to reduce the effort, and a representative solution is FireMonkey framework. In this paper, we represent the FireMonkey framework using ACME which is a language to describe software architecture. Such representation can provide the guideline to develop the application for the multiple platforms. Also it supports the information of that which perspectives are critical to develop such applications.

• Smart Structures and Systems
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• v.29 no.6
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• pp.777-783
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• 2022

Even though several deep learning-based methods have been applied in the field of acoustic source localization, the previous works have only been conducted using the two-dimensional representation of the beamforming maps, particularly with the planar array system. While the acoustic sources are more required to be localized in a spherical microphone array system considering that we live and hear in the 3D world, the conventional 2D equirectangular map of the spherical beamforming map is highly vulnerable to the distortion that occurs when the 3D map is projected to the 2D space. In this study, a 3D deep learning approach is proposed to fulfill accurate source localization via distortion-free 3D representation. A target function is first proposed to obtain 3D source distribution maps that can represent multiple sources' positional and strength information. While the proposed target map expands the source localization task into a point-wise prediction task, a PointNet-based deep neural network is developed to precisely estimate the multiple sources' positions and strength information. While the proposed model's localization performance is evaluated, it is shown that the proposed method can achieve improved localization results from both quantitative and qualitative perspectives.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.575-586
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• 2022

Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficient consideration during enhancement procedure will result in over-/under-exposure, loss of details and color distortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed in this paper based on the guidance of the unpaired low-/normal-light images. The key components in our network include super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), and denoising-scaling module (DSM). The SRM improves the resolution of the low-light input images before illumination enhancement. Such design philosophy improves the effectiveness of texture details preservation by operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectively distinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistency of illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, local region discriminator, and color discriminator performs assessment from different perspectives to avoid over-/under-exposure and color distortion, which guides the network to generate images that in line with human aesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Both qualitative and quantitative experiments demonstrate that our approach achieves favorable results, which indicates its superior capacity on illumination and texture details restoration.

• World Technopolis Review
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• v.1 no.3
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• pp.186-191
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• 2012

To understand South Korea's economic success several contending paradigms have emerged, ranging from a neo-classical explanation to a statist perspective, and Schumpeterian structuralism. The Korean miracle can be seen as a product of multiple factors involving the strategic choice of export-led growth, timely and active human-capital investment, business activism, and individual innovative ideas. However, South Korea needs more complex and innovative ideas to continue its both economic growth and S&T Development. The ideas of Schumpeterian structuralist needs to be more emphasized. Changing state-society relations and subsequent policy choice are greatly influenced by the industrial life cycle. The industrial life cycle is closely related to the historical sequencing and diffusion of technology. The complex mixture of statist-market-Schumpeterian structuralist perspectives could lead more technologically advanced society in South Korea.

• Journal of the Ergonomics Society of Korea
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• v.24 no.2
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• pp.25-33
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• 2005

In order to minimize a biased view of evaluators in usability test, a multiple evaluation method so called Multi-Centered Usability Evaluation Method(MCUEM) was suggested and structured in this study. To use MCUEM, the existing evaluation methods were re-categorized into 'developer and evaluator-centered', 'evaluator-centered', 'user-centered', 'evaluator and user-centered', and the 'developer, evaluator, and user-centered methods. Furthermore, in order to verify the relevance of MCUEM, the usability of mobile phone was tested in this study. In results, it was found that different evaluation methods generated greatly different results, that showed the risk of using a particular usability method due to different perspectives of evaluators. At the same time, it was found that MCUEM could greatly minimize such biases. Therefore, it was concluded that using MCUEM could help the usability engineer design a test protocol with a minimal risk of bias due to different perspective of evaluators.

• Journal of Electrical Engineering and Technology
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• v.4 no.3
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• pp.337-345
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• 2009

Deregulation in power industry has made the reactive power ancillary service management a critical task to power system operators from both technical and economic perspectives. Reactive power management in power systems is a complex combinatorial optimization problem involving nonlinear functions with multiple local minima and nonlinear constraints. This paper proposes a practical market-based reactive power ancillary service management scheme to tackle the challenge. In this paper a new model for voltage security and reactive power management is presented. The proposed model minimizes reactive support cost as an economic aspect and insures the voltage security as a technical constraint. For modeling validation study, two optimization algorithm, a genetic algorithm (GA) and particle swarm optimization (PSO) method are used to solve the problem of optimum allocation of reactive power in power systems under open market environment and the results are compared. As a case study, the IEEE-30 bus power system is used. Results show that the algorithm is well competent for optimal allocation of reactive power under practical constraints and price based conditions.

• Industrial Engineering and Management Systems
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• v.6 no.1
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• pp.1-10
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• 2007

The objective of this study is to develop an optimal joint cost from the perspectives of both the manufacturer and the retailer. The integrated production-inventory model with Weibull distribution deteriorating items is assumed to have a constant demand rate. A limited retailer storage space and multiple delivery per order are considered in this model. A numerical example including the sensitivity analysis is given to validate the results of the production-inventory model.

• Journal of Astronomy and Space Sciences
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• v.32 no.2
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• pp.101-112
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• 2015

Magnetic reconnection is a fundamental process occurring in a wide range of astrophysical, heliospheric and laboratory plasmas. This process alters magnetic topology and triggers rapid conversion of magnetic energy into thermal heating and nonthermal particle acceleration. Efforts to understand the physics of magnetic reconnection have been made across multiple disciplines using remote observations of solar flares and in-situ measurements of geomagnetic storms and substorms as well as laboratory and numerical experiments. This review focuses on the progress achieved with solar flare observations in which most reconnection-related signatures could be resolved in both space and time. The emphasis is on various observable emission features in the low solar atmosphere which manifest the coronal magnetic reconnection because these two regions are magnetically connected to each other. The research and application perspectives of solar magnetic reconnection are briefly discussed and compared with those in other plasma environments.