• Child Health Nursing Research
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• v.30 no.1
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• pp.54-66
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• 2024

Purpose: This study investigated participation in and perceptions of antibiotic stewardship among nurses at a children's hospital. Methods: This descriptive study included 125 nurses working in the inpatient ward, intensive care unit and emergency room of a single tertiary children's hospital. The study measured 14 factors influencing antibiotic stewardship behaviors using the theoretical domains framework. Each factor was analyzed by categorizing it into components (capability, opportunity, and motivation) that have been proposed as influencing factors in the COM-B model of behavior. One-way analysis of variance and Pearson correlation coefficients were used to explore differences in antibiotic stewardship behaviors and influencing factors according to general characteristics and the correlation between antibiotic stewardship behaviors and COM-B components. Results: No statistically significant difference in antibiotic stewardship behaviors was found based on the experience of antibiotic stewardship education or the nursing department. However, significant differences were observed in the perception levels of factors related to antibiotic stewardship behaviors according to the experience of antibiotic stewardship education in skill (physical) (p=.042), knowledge (p=.027), intentions (p=.028), and social influences (p=.010). Additionally, significant differences were observed in perception levels according to the sub-components of the COM-B model, specifically physical capability (p=.042), psychological capability (p=.027), and social opportunity (p=.010). Conclusion: To expand nurses' involvement and roles in antibiotic stewardship, nurses should acknowledge the significance of appropriate antibiotic use, aiming to enhance the quality of medical care and ensure patient safety. In pursuit of this objective, tailored education aligning with the specific needs and practices of nurses is essential.

• Korean Journal of Environmental Agriculture
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• v.9 no.1
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• pp.61-68
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• 1990

The pressure to develop new agricultural technologies will be roughly proportional to the rate of depletion of natural resources employed in agriculture. Of these resources, land, water and gentic resources are critical. The development of agriculture is associated with a scientific and technological establishment, of remarkable capability ; responding rapidly to many problems encountered by the agricultural production. These advantages are also coupled with constraints. Agricultural systems are concerned with the efficient conversion of resources into products that are wanted by the producer or someone else who is prepared to pay for them. They are based on biological processes, but they are operated by the people for a multiplicity of purposes. Study of agricultural systems is aimed at helping in the operation of systems, their repair or their improvement. The future concerns of agriculture will center on (1) increasing and safeguarding the supplies of productive inputs to agriculture, (2) improving the efficiency with which these inputs are used in food production, (3) developing new sources of basic food materials, and (4) coping with the external costs that tend to appear in intensive, mechanized agriculture.

• Journal of Korean Institute of Industrial Engineers
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• v.12 no.2
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• pp.1-11
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• 1986

This study is concerned on computerized analysis of COG, torques and EMG amplitudes in weight-lifting motion. The results show that; (1) torques on major joints show a rather consistent relationship with respect to the sequence of four distinct motions in weight-lifting, (2) analysis of EMG amplitudes is a sensitive measure of both athlete's skill and his potential capability, and (3) range of COG variations can be used as indicator of motion stability, existence of undesirable posture, and target muscle for intensive training. A computerized routine, which includes analyses on COG, EMG and torque, is a scientific tool for coaching athletes. In addition, an Expert System which includes CAD routine was developed in order to promote better understanding for athletes and coaches.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.6
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• pp.39-44
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• 2012

Water supply capacity and operational capability in agricultural reservoirs are expressed differently in the limited storage due to seasonal and local variation of precipitation. Since agricultural water supply and demand basically assumes the uncertainty of hydrological phenomena, it is necessary to improve probabilistic approach for potential risk assessment of water supply capacity in reservoir for enhanced operational storage management. Here, it was introduced the irrigation vulnerability characteristic curves to represent the water supply capacity corresponding to probability distribution of the water demand from the paddy field and water supply in agricultural reservoir. Irrigation vulnerability probability was formulated using reliability analysis method based on water supply and demand probability distribution. The lower duration of irrigation vulnerability probability defined as the time period requiring intensive water management, and it will be considered to assessment tools as a risk mitigated water supply planning in decision making with a limited reservoir storage.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.1
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• pp.9-21
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• 2011

Assuming that the Capability Maturity Model Integration for Development v1.2 (CMMI) could be applied to an organization more effectively if the content similarities among practices were improved in terms of structure and composition, this paper presents the analysis of the correlations between the CMMI Specific Practices (SP) and Generic Practices (GP) for the Maturity Level 2 and 3 Process Areas using the Chi-square independence test. According to the analysis, a 22.2% correlation was observed. To minimize the problem of repeatedly applying similarities, 6 GPs that are highly correlated with the SPs were grouped together. Then, three different improvement plans: 1) development of a standard template-based project plan, 2) establishment of a configuration management system based on open source software to control work products and leverage experience, and 3) establishment of project assurance through an independent quality assurance-based organization and intensive review by higher-level management - were defined.

• Knowledge Management Research
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• v.11 no.2
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• pp.111-131
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• 2010

The purpose of this study is to categorize group of firms by using characteristics of technical innovation in telecommunication industry and to identify relationships between types of technical innovation and such contingency factors of technical innovation. The major findings of this study are summarized as follows; First, Type 1 Group (Innovative Industry Leading Group) tends to use innovative and market differentiation strategy and has more innovative C.E.O's management style and innovative culture. Second, Type 2 Group (Dependent Group on Market Change) tends to use market differentiation or cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture. Third, Type 3 Group (Small Technology Intensive Group) tends to use focused innovative strategy and has a more innovative C.E.O's management style and innovative culture. Fourth, Type 4 Group (Non-Innovative Group) tends to use focused cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.6
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• pp.1139-1146
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• 2010

Simulated target generators are used to evaluate the various radar performance. Using the radar parameters such as target range(time delay), doppler frequency, target RCS, simulated target generator can be developed. Especially moving targets are simulated by control time delay and update target signal intensive for target range. Base on this concepts, in this paper, simulated target generators are designed and developed for X-band Radar performance test. Developed equipment is evaluated its performance and then tested with X-band Radar. This paper presents these design, development, and test results of developed target generator.

• Journal of Power Electronics
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• v.15 no.1
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• pp.235-245
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• 2015

This paper proposes a reactive current assignment and control strategy for a doubly-fed induction generator (DFIG) based wind-turbine generation system under generic grid voltage sag or swell conditions. The system's active and reactive power constrains during grid faults are investigated with both the grid- and rotor-side convertors (GSC and RSC) maximum ampere limits considered. To meet the latest grid codes, especially the low- and high-voltage ride-through (LVRT and HVRT) requirements, an adaptive reactive current control scheme is investigated. In addition, a torque-oscillation suppression technique is designed to reduce the mechanism stress on turbine systems caused by intensive voltage variations. Simulation and experiment studies demonstrate the feasibility and effectiveness of the proposed control scheme to enhance the fault ride-through (FRT) capability of DFIG-based wind turbines during violent changes in grid voltage.

• Asia Marketing Journal
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• v.16 no.3
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• pp.35-56
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• 2014

With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.16-26
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• 2024

Mobile edge computing (MEC) plays a crucial role in improving the performance of resource-constrained mobile devices by offloading computation-intensive tasks to nearby edge servers. However, existing methods often neglect the critical consideration of future task requirements when making offloading decisions. In this paper, we propose an innovative approach that addresses this limitation. Our method leverages recurrent neural networks (RNNs) to predict task sizes for future time slots. Incorporating this predictive capability enables more informed offloading decisions that account for upcoming computational demands. We employ genetic algorithms (GAs) to fine-tune fitness functions for current and future time slots to optimize offloading decisions. Our objective is twofold: minimizing total processing time and reducing energy consumption. By considering future task requirements, our approach achieves more efficient resource utilization. We validate our method using a real-world dataset from Google-cluster. Experimental results demonstrate that our proposed approach outperforms baseline methods, highlighting its effectiveness in MEC systems.