• Proceedings of the Korean Society of Plant Pathology Conference
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• 2000.10a
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• pp.29.1-29
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• 2000

• Journal of Korean Academy of Nursing
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• v.32 no.6
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• pp.803-811
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• 2002

This study was to identify priority areas of nursing research in Korea. Method: A data analysis was done for the PhD subjects (n=133) who responded at the national level two-rounds delphi survey. Subjects were asked to assign a score from 1 to 7 for 29 nursing research areas regarding 3 aspects: the degree of nurses research leadership; the degree of contribution to nursing professions; and the degree of contribution to health and welfare of patients/clients. Result: For the overall three aspects, research area on clinical nursing practice was identified as the first priority, followed by nursing education, home health nursing, nursing research, and chronic disease. For nursing research leadership, research area on clinical nursing practice, nursing education, home health nursing, nursing research, and nursing diagnosis were identified. Concerning contribution to the nursing profession, the first priority was nursing education, followed by clinical nursing practice, nursing research, nursing policy, and home health nursing. Concerning contribution to the health/welfare of patients, clinical nursing practice, home health care, geriatric nursing, chronic disease, and symptom management were ranked as top 5 research priorities. Conclusion: The findings of this national survey will assist in building insights into the research needs of nurses practicing in Korea.

• Transactions on Electrical and Electronic Materials
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• v.15 no.4
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• pp.230-234
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• 2014

Automatic detection of disease helps medical institutions that are introducing digital images to read images rapidly and accurately, and is thus applicable to lesion diagnosis and treatment. The aim of this study was to apply a symmetry contribution algorithm to unsharp mask filter-applied MR images and propose an analysis technique to automatically recognize brain tumor and edema. We extracted the skull region and drawed outline of the skull in database of images obtained at P University Hospital and detected an axis of symmetry with cerebral characteristics. A symmetry contribution algorithm was then applied to the images around the axis of symmetry to observe intensity changes in pixels and detect disease areas. When we did not use the unsharp mask filter, a brain tumor was detected in 60 of a total of 95 MR images. The disease detection rate for the brain was 63.16%. However, when we used the unsharp mask filter, the tumor was detected in 87 of a total of 95 MR images, with a disease detection rate of 91.58%. When the unsharp mask filter was used in the pre-process stage, the disease detection rate for the brain was higher than when it was not used. We confirmed that unsharp mask filter can be used to rapidly and accurately to read many MR images stored in a database.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.1
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• pp.35-50
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• 2015

In order to re-activation of shared cataloging, spirit of community and cooperation are most needed. But proper compensation about contribution would motivate. Through representing basic data for making compensation policy about university library's share cataloging system, this study analyzes activities about contribution and utilization of participated libraries. To put it concretely, this study considers overall status of contribution and utilization through descriptive statistics and analyzes relationship between both sides. Furthermore through clustering participating library, this study brightened the libraries that ought to be compensated and who would be need to be specially rewarded. And draw the libraries that need to be paid and need to be led for active participation of shared cataloging.

• Journal of Korean Society for Atmospheric Environment
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• v.31 no.6
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• pp.508-519
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• 2015

The objective of this study was to quantitatively estimate $PM_{2.5}$ source contribution in Gyeongsan. Ambient $PM_{2.5}$ samples have been collected on zefluor, quartz and nylasorb filter by $PM_{2.5}$ samplers of cyclone method from September 2010 to December 2012. Collected samples were analyzed for determining 17 inorganic elements, 8 ions, and 8 carbon components after pretreatment. Based on these chemical information, the PMF model was applied to estimate the quantitative contribution of air pollution sources. The results of the PMF modeling showed that the sources were apportioned by biomass burning source (15.5%), secondary sulfate source (16.0%), industry source (10.4%), soil source (7.0%), gasoline source (9.1%), incinerator source (10.4%), diesel emission source (11.0%), and secondary nitrate source (20.6%), respectively. To analyze local source impacts from various wind directions, the CPF analysis were performed using source contribution results with the wind direction values measured at the site.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.75-82
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• 2019

The paper aims to investigate the impacts of long-term savings motives on fostering household participation and contribution to savings mechanisms in rural Vietnam. The paper is organized in five parts: introduction, data description, methodology, empirical results, and conclusion. The quantitative methodology is employed and three simultaneous estimation methods, including instrumental variable model, two-step model, and Heckman model are used to test these impacts as well as the robustness of results. In each model, the paper examines the impacts of independent factors on both household participation and household contribution to savings mechanisms. Two sets of independent variables: long-term savings motives (profit-making investment, accumulation for big expenditure, providing for old age, and cost of educations) and control variables (dependency rate, number of people in household, and household wealth) are in each model. A set of dataset of 2,314 households for analysis is obtained from household survey in rural Vietnam. Robust statistical findings indicate that profit-making investment emerged to be the strongest motive fostering household participation to savings mechanisms while other long-term savings motives have little or no impact on fostering household participation to savings mechanisms. In addition, education investment encourages household contribution to savings mechanisms in rural Vietnam.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2339-2355
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• 2021

In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.153-160
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• 2009

This study investigated what factors influence the knowledge contribution in online communities. Based on the theoretical framework like self-presentation theory and organizational citizenship behavior theory, we developed the research model and proposed four hypotheses. In order to test our hypotheses with an empirical study, we have conducted a survey which resulted in 192 valid responses in the final sample. The PLS analysis results indicate that knowledge contribution is influenced by self-presentation, innovation, organizational citizenship behavior, and affection similarity of online community users. Practical implications of these findings and future research implications are also discussed.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.1052-1060
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• 2023

The airborne radiation monitoring has been used in geophysics for more than forty years and now it also has its important role in emergency monitoring. The aircraft background and the cosmic gamma-rays contribute to the measured gamma spectrum on the aircraft board. This adverse effect should be eliminated before the data processing. The paper describes two semiparametric methods to estimate the full spectrum aircraft background and cosmic gamma-ray contribution from spectra measured at altitudes where terrestrial contribution is negligible. The methods only assume to know possible peak positions in spectra and their full width at half maximum, that can be easily obtained e.g. from terrestrial measurement. The methods were applied to real experimental data acquired on Mi-17 and Bell 412 helicopter boards. The IRIS airborne gamma-ray spectrometer, with 4×4 L NaI(Tl) crystals, produced by Pico Envirotec Inc., Canada, was used on helicopters' boards. To obtain valid estimate of the aircraft background and the cosmic contribution, the measurements over sea and large water areas were carried out. However, the satisfactory results over inland were also achieved comparing with those acquired over large water areas.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1998.04a
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• pp.51-56
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• 1998

This paper presents modal contribution method to reduce vehicle vibration. Normal mode analysis is performed to obtain modal vector matrix. The proposed method uses this modal vector matrix to evaluate forced response of an active mode to the applied engine forces and the rotating force due to wheel unbalance mass. Comparing the responses, of the specific active mode with one another, it can be easily done to determine most contributed mode in the interesting frequency band. Then we can find dominant bushes by the strain energy distribution of the mode. Vibration response is decrease with modification of those bushes.