• 제목/요약/키워드: Contribution analysis

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우리나라에서의 간호연구 우선순위 (Priorities of Nursing Research Areas in Korea)

  • 오의금;김조자;유지수;고일선;김미자
    • 대한간호학회지
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    • 제32권6호
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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.

CAD for Detection of Brain Tumor Using the Symmetry Contribution From MR Image Applying Unsharp Mask Filter

  • Kim, Dong-Hyun;Ye, Soo-Young
    • Transactions on Electrical and Electronic Materials
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    • 제15권4호
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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.

대학도서관의 종합목록 기여 활동 및 이용 정도에 대한 탐사적 연구 (Exploratory Study on the Activity about Utilization and Contribution to the Union Catalog)

  • 조재인
    • 한국비블리아학회지
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    • 제26권1호
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    • pp.35-50
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    • 2015
  • 종합목록 활성화를 위해서는 서지네트워크 참여 도서관의 공동체 의식과 협력 정신이 가장 중요하겠으나, 기여에 대한 적절한 보상은 참여 동기를 유발시킬 수 있다. 따라서 본 연구는 해외 종합목록의 기여보상제도를 살펴보고, 우리나라 대학도서관 종합목록 참여 도서관의 기여 활동과 이용 정도를 탐사적으로 분석하였다. 연구의 내용을 구체적으로 기술하면 첫째, 기술통계 분석을 통해 종합목록 참여 도서관의 기여 활동과 이용도에 대한 전반적인 현황을 파악해 보며, 둘째, 피어슨 상관 분석(Pearson Correlation Analysis)을 통해 기여활동과 이용 정도간에 어떠한 상관관계가 존재하는지 분석해 보았다. 셋째, 계층적 군집 분석(Hierarchical Clustering)을 통해 참여 기관을 유형화하여 기여 집단의 규모, 특수 공헌 집단의 존재 여부 등을 분석하였다.

PMF 모델을 이용한 경산지역 PM2.5의 오염원 기여도 추정 (Source Apportionment of PM2.5 in Gyeongsan Using the PMF Model)

  • 정영진;황인조
    • 한국대기환경학회지
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    • 제31권6호
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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.

Do Long Term Savings Motives Foster Household Participation and Contribution to Savings Mechanisms in Rural Vietnam?

  • HA, Van Dung
    • The Journal of Asian Finance, Economics and Business
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    • 제6권2호
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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.

A Novel Algorithm of Joint Probability Data Association Based on Loss Function

  • Jiao, Hao;Liu, Yunxue;Yu, Hui;Li, Ke;Long, Feiyuan;Cui, Yingjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권7호
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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.

온라인 커뮤니티 지식공헌에 미치는 영향요인 (The Effects on Knowledge Contribution in Online Communities)

  • 신호경;이기원;김경준
    • 한국컴퓨터정보학회논문지
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    • 제14권4호
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    • pp.153-160
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    • 2009
  • 본 논문에서는 온라인 커뮤니티에서 어떻게 지식공헌이 이루어지는지를 살펴보고자 온라인 커뮤니티 사용자들의 지식공헌에 영향을 미치는 요인들을 실증적 연구를 통해 규명하고자 하였다. 자기표현이론과 조직시민행동이론을 토대로 연구모형을 설정하고 네 개의 가설을 제안하였다. 온라인 커뮤니티 참여자 192명의 설문 조사를 PLS로 분석한 연구의 결과에서, 온라인 커뮤니티 사용자들의 자기표현과 혁신성, 조직시민행동 및 감정적 동질감등이 지식공헌에 긍정적인 영향을 미치는 것으로 나타났다. 이외에 온라인 커뮤니티에 대한 본 연구결과에 대한 학문적 실무적 의미를 논의하였으며, 향후 연구에 대한 시사점도 언급하였다.

Full spectrum estimation of helicopter background and cosmic gamma-ray contribution for airborne measurements

  • Lukas Kotik;Marcel Ohera
    • Nuclear Engineering and Technology
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    • 제55권3호
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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.

모우드 기여도 분석을 이용한 차량의 진동특성 개선 (The Improvements of Vehicle Vibration Characteristics Using Modal Contribution)

  • 안지훈;지상현;고병식
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 1998년도 춘계학술대회논문집; 용평리조트 타워콘도, 21-22 May 1998
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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.

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