• 제목/요약/키워드: small-scale data

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소규모사업장 보건지도사업내용의 현상학적 연구 (A Phenomenological Study on the Subsidiary Program of Health Management in Small Scale Industries)

  • 조유향;이명숙;김명순;김현리
    • 한국보건간호학회지
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    • 제12권1호
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    • pp.1-12
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    • 1998
  • This study was conducted to grasp the progress of the health management program in small scale industries with phenomenological approach. The industrial health care system compose of manpower, devices, and facilities such as medical resources, organization, service delivery system, financial resources, payments, and management system is important for the industrial health. Especially health management program should be provided feasible conditions to workers. The data collection period was 2 months from September 1 to October 30, 1997. The indepth interview results for health monitor, labors, and occupational health nurses were analyzed by Giorgis' phenomenological method. The major results were as follows: 1. The workers, health monitors and nurses felt that the subsidiary program of health management in small scale industries were necessary. This project for small-size industry can be set-up through complementary education for health monitors and resolvement of nurses' six suggestions. It is necessary to provide followings ; 1) Properly devision of industry 2) More clear guidance for health management at visiting time 3) Legitimate incentive system 4) Health education materials and devices 5) Change of fee and material payments at visiting 6) Budgets and system for medication and vaccination at visiting 2. Above all, it is suggested that the strategics of the health management program should be developed.

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Unified Estimations for Parameter Changes in a Generalized Uniform Distribution

  • 김중대;이장춘
    • Journal of the Korean Data and Information Science Society
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    • 제13권2호
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    • pp.295-305
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    • 2002
  • We shall propose several estimators for the shape and scale parameters in a generalized uniform distribution when both parameters are polynomial of a known exposure level, and obtain expectations and variances for their proposed estimators. And we shall compare numerically efficiencies for the several proposed estimators for the shape and scale parameters in a generalized uniform distribution in the small sample sizes.

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Parametric Estimations for Parameter Changes in the Exponential Distribution

  • Lee, Chang-Soo;Moon, Yeung-Gil
    • Journal of the Korean Data and Information Science Society
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    • 제16권1호
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    • pp.107-114
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    • 2005
  • We shall consider parametric estimations for the scale parameter in the exponential distribution when the parameter is function of a known exposure level, and obtain expectations and variances for their proposed estimators. And we shall compare numerically efficiencies for proposed estimators of the scale parameter in the small sample sizes.

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Likelihood Based Confidence Intervals for the Common Scale Parameter in the Inverse Gaussian Distributions

  • Lee, Woo-Dong;Cho, Kil-Ho;Cha, Young-Joon;Ko, Jung-Hwan
    • Journal of the Korean Data and Information Science Society
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    • 제17권3호
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    • pp.963-972
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    • 2006
  • This paper focuses on the likelihood based confidence intervals for two inverse gaussian distributions when the parameter of interest is common scale parameter. Confidence intervals based on signed loglikelihood ratio statistic and modified signed loglikelihood ratio statistics will be compared in small sample through an illustrative simulation study.

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Utilization of UAV Remote Sensing in Small-scale Field Experiment : Case Study in Evaluation of Plat-based LAI for Sweetcorn Production

  • Hyunjin Jung;Rongling Ye;Yang Yi;Naoyuki Hashimoto;Shuhei Yamamoto;Koki Homma
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.75-75
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    • 2022
  • Traditional agriculture mostly focused on activity in the field, but current agriculture faces problems such as reduction of agricultural inputs, labor shortage and so on. Accordingly, traditional agricultural experiments generally considered the simple treatment effects, but current agricultural experiments need to consider the several and complicate treatment effects. To analyze such several and complicate treatment effects, data collection has the first priority. Remote sensing is a quite effective tool to collect information in agriculture, and recent easier availability of UAVs (Unmanned Aerial Vehicles) enhances the effectiveness. LAI (Leaf Area Index) is one of the most important information for evaluating the condition of crop growth. In this study, we utilized UAV with multispectral camera to evaluate plant-based LAI of sweetcorn in a small-scale field experiment and discussed the feasibility of a new experimental design to analyze the several and complicate treatment effects. The plant-based SR measured by UAV showed the highest correlation coefficient with LAI measured by a canopy analyzer in 2018 and 2019. Application of linear mix model showed that plant-based SR data had higher detection power due to its huge number of data although SR was inferior to evaluate LAI than the canopy analyzer. The distribution of plant-based data also statistically revealed the border effect in treatment plots in the traditional experimental design. These results suggest that remote sensing with UAVs has the advantage even in a small-scale experimental plot and has a possibility to provide a new experimental design if combined with various analytical applications such as plant size, shape, and color.

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대학 캠퍼스 공간적 지표에 의한 유형화에 관한 연구 (A Study on the Classification by the Spatial Index of the University Campuses)

  • 김천일;신소영;김익환
    • 교육시설 논문지
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    • 제23권4호
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    • pp.3-10
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    • 2016
  • This paper presents the investigation results on the classification of the university campuses. For the classification, we selected the spatial index as the evaluation indicator since the environmental factors and maintenance methods vary from university campus to university campus. For the study, we used eight spatial indices of the 30 national universities. This paper provides the spatial characteristics of different campus types, presents campus classification analysis as a future research approach to campus maintenance, and provides the data for the future study of comparison among universities. The results are as follows. 1) The classification investigation categorized the university campuses into three groups. Type 1 is a large-scale type, located near downtown. Type 2 is a medium-scale type, located at a remote site from downtown. Type 3 is a small-scale type, which is located comparatively near downtown. 2) Type 1 is a large-scale mixed area type, and 13 universities belong to this group. Type 2 is a medium-scale suburban area type, and six universities are in this group. Finally, Type 3 is a small-scale downtown area type, and 11 universities belong to this group.

A Study on the Effects of Small Business Management Result by the Korean Government: Focus on SEMAS

  • Choi, Dong-Rack;Suh, Geun-Ha
    • Asian Journal of Business Environment
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    • 제7권3호
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    • pp.33-43
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    • 2017
  • Purpose - It is necessary to identify the level of marketing activities of the businesses that are recognized and carried out by the small and midsize businesses that have been supported by the government's small-business policy Research design, data, and methodology - The method of data analysis of this study was conducted by the researcher's acquaintances and center staffs who visited small business owners in a small - scale company operating a business. Results - It is found that the financial support part of the support programs for the small business owners is not related to the center affection among the support programs for the small business owners of the government. This is a fact-finding process that can be regarded as a forming process that has a significant effect on. As a result of the analysis, both marketing activity and center attachment were found to be possible parameters which have significant influence on business performance. Conclusions - Developing a variety of contact and customer management programs with small business owners in the field has enabled the government's policies to effectively penetrate the site, and these efforts eventually resulted in more business results for small business owners.

소형 자연순환 수직형 증발기 해석 및 성능실험 (Performance Analysis and Test of a Small-Scale Natural Circulation Vertical Evaporator)

  • 차상진;김내현;유진상
    • 설비공학논문집
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    • 제23권9호
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    • pp.595-603
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    • 2011
  • In this study, an effort has been made to analyze the subcooled boiling heat transfer in a natural circulation vertical evaporator. To verify the analysis, a small-scale model was made and tested. The friction correlation by Ueda, void fraction and quality correlation by Saha and Zuber along with the superposition heat transfer model by Rohsenow yielded a satisfactory agreement with the model test data. The analysis was extended to simulate a 1 ton/day concentration system. Comparison with the test results of 1 ton/day prototype revealed that the data were overpredicted by 13%. The capacity of the prototype was 1.2 ton/day with COP of 5.77.

웹 이용자의 접속 정보 분석을 통한 웹 활용 그래프의 구성 및 분석 (An Analysis on the Web Usage Pattern Graph Using Web Users' Access Information)

  • 김후곤;김재교
    • 경영과학
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    • 제23권3호
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    • pp.63-75
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    • 2006
  • There are many kinds of research on web graph, most of them are focus on the hyperlinked structure of the web graph. Well known results on the web graph are rich-get-richer phenomenon, small-world phenomenon, scale-free network, etc. In this paper, we define 3 new directed web graph, so called the Web Usage Pattern Graph (WUPG), that nodes represent web sites arid arcs between nodes represent a movement between two sites by users' browsing behavior. The data to constructing the WUPG, approximately 56,000 records, are gathered from some users' PCs. The results analysing the data summarized as follows : (i) extremely rich-get-richer phenomenon (ii) average path length between sites is significantly less than the previous one (iii) less external hyperlinks, more internal hyperlinks.

동물 이미지를 위한 향상된 딥러닝 학습 (An Improved Deep Learning Method for Animal Images)

  • 왕광싱;신성윤;신광성;이현창
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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    • pp.123-124
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    • 2019
  • This paper proposes an improved deep learning method based on small data sets for animal image classification. Firstly, we use a CNN to build a training model for small data sets, and use data augmentation to expand the data samples of the training set. Secondly, using the pre-trained network on large-scale datasets, such as VGG16, the bottleneck features in the small dataset are extracted and to be stored in two NumPy files as new training datasets and test datasets. Finally, training a fully connected network with the new datasets. In this paper, we use Kaggle famous Dogs vs Cats dataset as the experimental dataset, which is a two-category classification dataset.

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