• Title/Summary/Keyword: classification skill

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Relationship between Nurse Staffing and Changes in Pain Level, Infection Severity, and Tissue Integrity: Skin and Mucous Membranes

  • Moon, Mi-Kyung
    • The Korean Journal of Rehabilitation Nursing
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    • v.14 no.1
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    • pp.62-69
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    • 2011
  • Purpose: The study assessed whether nurse staffing was associated with 3 nursing sensitive outcomes used in intensive care unit (ICU) nursing care plans. Methods: This study was a retrospective and descriptive study using clinical data extracted from the data warehouse of a large acute care hospital in the Midwest. One-way analysis of variance was used to analyze the records of 578 ICU patients admitted from March 25 to May 31, 2010. Results: 79 Nursing Outcomes Classification (NOC) outcomes were used in the nursing care plans. The 3 most commonly used NOC outcomes (Pain Level, Infection Severity, and Tissue Integrity: Skin and Mucous Membranes) were analyzed to determine their relationship to nurse staffing. As a nurse staffing ratio, the skill mix of nursing caregivers ranged from 0.74 to 1 with an average of 0.90. This skill mix of nursing caregivers significantly differed among the changes in Infection Severity scores. However, the mean difference was only 0.02. Conclusion: The results did not support that greater nurse staffing was associated with better outcomes. More research is still needed to determine the usefulness of Pain Level, Infection Severity, and Tissue Integrity: Skin and Mucous Membranes in evaluating the impact of nurse staffing.

A Study on the Classification and Characteristics of Multi-cultural Families in Rural Areas (농촌 다문화 가정의 특성 및 유형분석)

  • Lee, Namhyo;Gim, Uhn-Soon;Kim, Jeong-Youn
    • The Korean Journal of Community Living Science
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    • v.27 no.1
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    • pp.95-108
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    • 2016
  • The objectives of this study are to analyze the characteristics of multi-cultural families in rural areas and to classify their types by applying multi-variate techniques and cluster analyses. Data for the study were obtained by a surveying 120 married migrant females in rural areas of Chungchengnam-do, South Korea. By utilizing the factor analysis to analyze the characteristics of multi-cultural families, 16 basic variables related to these female subjects were categorized into 6 factors: 'marriage length and age', 'language skill of migrant female', 'language skill of husband', 'family satisfaction', 'income and education', and 'general living satisfaction in Korea with remittance'. By appling the cluster analysis, multi-cultural families in rural areas were divided into the following 5 types: 'stable settlement', 'average but stagnant', 'below average yet positive', 'high- income with little communication', and 'young low-income'. In all types, it is strongly recommended to develop various programs regarding vocational education for the migrant females in order to increase their economic opportunities as well as social status.

A Study on the Current Status and the Improvement Plan of Human Resource Development in Domestic Fire Industry (국내 소방산업 인력양성현황 및 개선에 관한 연구)

  • Shin, Mi-Young;Lee, Hae-Pyeong;Jung, Do-Young
    • Fire Science and Engineering
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    • v.23 no.5
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    • pp.173-180
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    • 2009
  • As cities become recently more crowded, various and enlarged, it is required a cutting-edge technology for fire industry. According to this, a transition is attempted from production intensive industry toward knowledge based industry. At this point, in order to develop fire industry into knowledge based high value industry, industry innovation capability is required and it heavily depends on human resource competitiveness. Accordingly, in this study is aimed to look the status of domestic fire industry personnel training by classifying the fire industry manpower by field skill personnel, high technology personnel, and professional research personnel and to suggest problems with personnel training followed by each classification and how to improve them.

A Study on the Development of National Skill System in Environmental Field (환경분야 국가직무체계 개발 연구)

  • Park, Jong-Sung
    • Journal of Engineering Education Research
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    • v.11 no.4
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    • pp.94-108
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    • 2008
  • The purpose of this study falls into the development of national skill system in environmental field. The jobs were classified by the commonly used terms in the field. Consequently there are three large groups, twelve middle groups which again narrow down to smaller jobs according to the relevant characteristics of each job in the group, and forty one jobs in total in the area. Six levels were identified for the definition of job level and the development of performance level by reflecting job levels by expertise. Under the consideration of the unique characteristics of the environment field, job levels were also defined in accordance with each area such as 'environment plan and assessment', 'measurement and analysis of environment', 'environment management', 'environment design and construction', 'environment health management', 'environment resources management', 'environment management and consulting', and 'environment education'. Based on these classification, the definitions of jobs and the standards of performances by jobs and levels were resulted in through a consultation consisting of experts in the environment industry and academy.

Classification and Recommendation of Scene Templates for PR Video Making Service based on Strategic Meta Information (홍보동영상 제작 서비스를 위한 전략메타정보 기반 장면템플릿 분류 및 추천)

  • Park, Jongbin;Lee, Han-Duck;Kim, Kyung-Won;Jung, Jong-Jin;Lim, Tae-Beom
    • Journal of Broadcast Engineering
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    • v.20 no.6
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    • pp.848-861
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    • 2015
  • In this paper, we introduce a new web-based PR video making service system. Many video editing tools have required tough editing skill or scenario planning stage for a just simple PR video making. Some users may prefer a simple and fast way than sophisticated and complex functionality. To solve this problem, it is important to provide easy user interface and intelligent classification and recommendation scheme. Therefore, we propose a new template classification and recommendation scheme using a topic modeling method. The proposed scheme has the big advantage of being able to handle the unstructured meta data as well as structured one.

Classification Algorithm for Liver Lesions of Ultrasound Images using Ensemble Deep Learning (앙상블 딥러닝을 이용한 초음파 영상의 간병변증 분류 알고리즘)

  • Cho, Young-Bok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.101-106
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    • 2020
  • In the current medical field, ultrasound diagnosis can be said to be the same as a stethoscope in the past. However, due to the nature of ultrasound, it has the disadvantage that the prediction of results is uncertain depending on the skill level of the examiner. Therefore, this paper aims to improve the accuracy of liver lesion detection during ultrasound examination based on deep learning technology to solve this problem. In the proposed paper, we compared the accuracy of lesion classification using a CNN model and an ensemble model. As a result of the experiment, it was confirmed that the classification accuracy in the CNN model averaged 82.33% and the ensemble model averaged 89.9%, about 7% higher. Also, it was confirmed that the ensemble model was 0.97 in the average ROC curve, which is about 0.4 higher than the CNN model.

Development of daily solar flare peak flux forecast models for strong flares

  • Shin, Seulki;Lee, Jin-Yi;Chu, Hyoung-Seok;Moon, Yong-Jae;Park, JongYeob
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.1
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    • pp.64.3-64.3
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    • 2015
  • We have developed a set of daily solar flare peak flux forecast models for strong flares using multiple linear regression and artificial neural network methods. We consider input parameters as solar activity data from January 1996 to December 2013 such as sunspot area, X-ray flare peak flux and weighted total flux of previous day, and mean flare rates of McIntosh sunspot group (Zpc) and Mount Wilson magnetic classification. For a training data set, we use the same number of 61 events for each C-, M-, and X-class from Jan. 1996 to Dec. 2004, while other previous models use all flares. For a testing data set, we use all flares from Jan. 2005 to Nov. 2013. The best three parameters related to the observed flare peak flux are weighted total flare flux of previous day (r = 0.51), X-ray flare peak flux (r = 0.48), and Mount Wilson magnetic classification (r = 0.47). A comparison between our neural network models and the previous models based on Heidke Skill Score (HSS) shows that our model for X-class flare is much better than the models and that for M-class flares is similar to them. Since all input parameters for our models are easily available, the models can be operated steadily and automatically in near-real time for space weather service.

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Development of VR Ship Environment for The Educational Training of Ship Survey (선박 검사 교육훈련을 위한 VR 선박 환경 구축)

  • Kil, WooSung;Son, Myeong-Jo;Lee, Jeong-Youl
    • Journal of the Society of Naval Architects of Korea
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    • v.55 no.4
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    • pp.361-369
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    • 2018
  • The ship surveyor makes a scheme of reasonable ship operation by examining whether the ship has been properly constructed in accordance with the rule of classification societies and international conventions or whether the facilities of the ship in operation meet the standard stipulated by law. Even though the ship surveyors of classification society generally consist of people who have the skill of design or operation of a ship, it takes a long time to train a surveyor to the maturity level. This paper describes the development of survey simulator based on virtual ship environment that enables the surveyor minimize trial and errors to survey the ships. By using VR(Virtual Reality) based survey simulator, surveyors possibly achieve improvement of competence in survey quality by means of safe and immersive training environment. In order to improve the usability and utility of the VR simulator, the ship 3D model has been generated using 3D CAD model for design and production in shipyard. Through this, we suggested the possibility of consistent use of 3D model as the digital twin of a ship.

Study on Patient Outcomes through the Construction of Korean Nursing Minimum Data Set (NMDS) (한국형 Nursing Minimum Data Set(NMDS)구축을 통한 환자결과에 대한 연구)

  • Lee, Eun-Joo
    • Journal of Korean Academy of Nursing Administration
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    • v.12 no.1
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    • pp.14-22
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    • 2006
  • Purpose: The purpose of this study is developing the nursing information system which contains the core elements of nursing practice, the Nursing Minimum Data Set (NMDS) that should be collected and documented all the settings in which nursing care is provided. Method: The program was developed under the hospital information system by TCP/IP protocol and used NANDA, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC) to fill out the elements of NMDS. The Oracle was used as DBMS under the Windows 98 environment and Power Builder 5.0 was used as a program language. Results: This study developed linkage among the NANDA-NOC-NIC to facilitate choosing correct nursing diagnosis, interventions, and outcomes and stimulate nurses' critical thinking. Also the system developed includes nursing care sensitive patient outcomes, so nurses can actively involve in nursing effectiveness research by analyzing the data stored in the database or by making relational databases with other health care related databases. Conclusion: The program developed in this study ultimately can be used for the nursing research, policy development, reimbursement of nursing care, and calculating staffing and nursing skill mix by providing tool to describe and organize nursing practice and measure the nursing care effectiveness.

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An Analysis on Completeness of Educational Objectives in Elementary Science Curriculum (국민학교 자연과 교육목표의 일관성 분석 연구)

  • Seo, Dong-Wook;Jeong, Jin-Woo
    • Journal of The Korean Association For Science Education
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    • v.14 no.3
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    • pp.321-329
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    • 1994
  • The purpose of this study was to investigate the completeness of educational objectives according to grades, objective domains and content areas, and to inquire the completeness of educational objectives by instructional quality profile and to restate educational objectives on the elementary school science curriculum. The taxonomy as a classification tool was developed in order to classify the science educational objectives. Teacher's guide-books of elementary school science were used to analyze the completeness. The educational objectives were checked using the objective classification tool by 11 experienced specialists in science education. The following are the results of this study. 1. Completeness of unit was shown approximately the 62 percentage in chapters, the 72 percentage in sections and the 87 percentage in periods. 2. Only the related chemistry parts showed that each objective domains were stated evenly. 3. On the whole, the number of understanding(38%) of stated educational objectives was much more than the other domains, such as manual skill(7%), attitudes.interests.appreciations(4%). 4. The elementary school science objectives were restated using the instructional quality profile in order to increase the completeness.

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