• Title/Summary/Keyword: quantitative evaluation method

Search Result 1,410, Processing Time 0.033 seconds

Quantitative Analyses for the Quality Evaluation of Salviae Miltiorrhizae Radix by HPLC

  • Fang, Zhe;Moon, Dong-Cheul;Son, Kun-Ho;Son, Jong-Keun;Min, Byung-Sun;Woo, Mi-Hee
    • Natural Product Sciences
    • /
    • v.16 no.4
    • /
    • pp.251-258
    • /
    • 2010
  • In this study, quantitative analysis for the quality evaluation of Salviae Miltiorrhizae Radix using HPLC/UV was developed. For quantitative analysis, six major bioactive compounds were determined. The separation conditions employed for HPLC/UV were optimized using ODS $C_{18}$ column ($250{\times}4.6\;mm$, $5\;{\mu}m$) with gradient condition of A (1% formic acid in $H_2O$) and B (acetonitrile : methanol : formic acid = 100 : 75 : 1) as the mobile phase at a flow rate of 1.0 mL/min and a detection wavelength of 280 nm. These methods were fully validated with respect to the linearity, accuracy, precision and recovery. The HPLC/UV method was applied successfully to the quantification of six major compounds in the Salviae Miltiorrhizae Radix. The results indicate that the established HPLC/UV method is suitable for the quantitative analysis.

Performance Evaluation of An Intuitive Robot Teach Method Using a Force/moment Direction Sensor

  • Park, Myoung H.;Lee, Woo-Won
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2002.10a
    • /
    • pp.78.1-78
    • /
    • 2002
  • A quantitative performance evaluation of an intuitive robot teach method is presented. $\textbullet$ Teach times for two types of teach tasks are compared to the conventional teach pendant method. $\textbullet$ Teach tasks requiring a 4 DOF motion and a 6 DOF motion were tested. $\textbullet$ Compared to the teach pendant method, the proposed method reduce the teach times to 75% and 55%. $\textbullet$ The intuitive teach method is easier for the untrained robot users.

  • PDF

A Health Performance Evaluation Model of Building Indoor Air Quality (실내공기질의 건강성능 평가모델 연구)

  • ZHENG, QI;Lee, Dong-Hoon;Choi, Jae Hwi;Kim, Sun-Kuk
    • KIEAE Journal
    • /
    • v.10 no.3
    • /
    • pp.3-10
    • /
    • 2010
  • As indoor air quality directly affects health and comforts of the residents, researchers from different countries have continued to explore criteria by which indoor air quality can be indicated in a scientific and quantitative manner over the past several decades. However, there are many possibilities that can deteriorate indoor air quality. Due to the uncertainty of influence factors, it is quite difficult to develop a correct evaluation model and quantitative method. Furthermore, the effects from the indoor air pollutants have different levels, leading to the difficulties to apply the regular standard. This study aims to propose evaluation criteria by using the FD-AHP analysis. Obtained findings will be beneficial to construct apartment buildings, commercial buildings and others health performance evaluation framework.

Development of an Integrated Evaluation Method for National Protected Areas Based on Aichi Biodiversity Target 11 (아이치 생물다양성 목표 11에 기초한 국가 보호지역의 통합 평가 체계 개발)

  • Hong, Jin-Pyo;Shim, Yun-Jin
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.21 no.1
    • /
    • pp.83-94
    • /
    • 2018
  • This study presents an integrated evaluation method to assess the level of achievement of quantitative expansion goals and qualitative improvement goals based on the Aichi Biodiversity Target 11 for quantitatively expanding and qualitatively improving national protected areas. The quantitative evaluation indicators for national protected areas are the percentage of terrestrial and inland water areas protected and the percentage of marine and coastal areas protected. The quantitative evaluation indicators for national protected areas are selected as 6 indicators: 1) ecologically important areas, 2) ecological representativeness, 3) management effectiveness, 4) connectivity, 5) social equity and 6) integration. Ecologically important areas are an indicator which evaluates how many areas of particular importance for biodiversity and ecosystem services are included in national protected areas. Ecological representativeness is to assess how well national protected areas represent the ecosystem. Management effectiveness is an indicator which evaluates how effectively national protected areas are conserved and managed, and connectivity is an indicator to assess how well national protected areas are connected. Social equity is evaluating how equitably national protected areas are managed and the integration is assessing how much national protected areas are integrated into the wilder landscape and seascape. This study is significant in that it provides a perspective of qualitative improvement as well as quantitative expansion of national protected areas for biodiversity conservation through accurately understanding Aichi Biodiversity Target 11.

A Study on Improvements of Research Performance Evaluation for Enhancing the Soundness of Academic Activities (학술 활동 건전성 제고를 위한 연구업적평가 개선에 관한 연구)

  • Younghee, Noh;Ji Hei, Kang;Yong Hwan, Kim;Jeong-Mo, Yang;Jongwook, Lee
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.33 no.4
    • /
    • pp.93-114
    • /
    • 2022
  • This study aims to propose the ways to improve the research performance evaluation to support the establishment of a sound research culture. For the study, we analyzed the cases of domestic and foreign research performance evaluation, and a survey and an interview were conducted for faculty and research performance evaluation officials, respectively. In the study, the direction of establishing the principle of research performance evaluation, the method of categorizing the type of research performance, the method and procedure of research performance evaluation, and necessary documents were proposed. First, eight principles were suggested to be considered in evaluating research achievements to ensure the validity, reliability, and transparency of the evaluation while supplementing the limitations of quantitative evaluation. Second, the main types of research achievements were categorized into journal articles, books, and presentations at academic conferences. Third, as a research achievement evaluation method, a hybrid evaluation using quantitative and qualitative and multiple measurement indicators was proposed. Fourth, a total of 11 steps (required 7 steps) were presented as a procedure for research achievement evaluation. Fifth, publications, evaluation documents, and committee chair's reports were proposed as major documents for research achievement evaluation. The research achievement evaluation improvement plan presented in this study should be flexibly applied in consideration of the characteristics of the academic and research fields and universities.

A Study of Development of the School Library Evaluation Criteria (학교도서관 평가지표 개발 연구)

  • Kwak, Chul-Wan;Noh, Young-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.20 no.2
    • /
    • pp.183-196
    • /
    • 2009
  • The purpose of this study is to develop school library evaluation criteria by individual provincial office of education. Data was collected from several school library evaluation criteria. Based upon the data new evaluation criteria were developed in order to increase student academic achievement and apply various school environment. Evaluation items were divided into three items: library programs, school support, service. Evaluation methods were identified into survey method, statistics method, and applied standard statistics method. From three methods, applied standard statistics method was selected. This method included quantitative items and qualitative items. Quantitative items have two criteria from budget, three criteria from collection, and three criteria from use. Qualitative items have two criteria: collection and book usage.

A Quantitative Evaluation of ${\Delta}K_{eff}$ Estimation Methods Based on Random Loading Crack Growth Data. (랜덤하중하의 피로균열진전 데이터를 이용한 ${\Delta}K_{eff}$ 평가법의 정량적 평가)

  • Koo, Ja-Suk;Song, Ji-Ho;Kang, Jae-Youn
    • Proceedings of the KSME Conference
    • /
    • 2004.11a
    • /
    • pp.208-213
    • /
    • 2004
  • Methods for estimation of the effective stress intensity factor range (${\Delta}K_{eff}$) are evaluated for narrow and wide band random loading crack growth test data of 2024-T351 aluminum alloy. Three methods of determining $K_{op}$, visual measurement, ASTM offset compliance method, and the neural network method proposed by Kang and Song, and three methods of estimating ${\Delta}K_{eff}$, conventional, the 2/PI0 and 2/PI methods proposed by Donald and Paris, are compared in a quantitative manner by using the results of fatigue crack growth life prediction under random loading. For all $K_{op}$ determination methods discussed, the 2/PI0 and 2/PI methods of estimating ${\Delta}K_{eff}$ provide better results than conventional method for narrow and wide band random loading data.

  • PDF

Quantitative Approaches for Agricultural and Rural Policy Evaluation (농업.농촌정책평가를 위한 정량적 분석모형 연구)

  • Lee, Seong-Woo;Yun, Seong-Do
    • Journal of Korean Society of Rural Planning
    • /
    • v.14 no.4
    • /
    • pp.97-108
    • /
    • 2008
  • The present study construct a new technique that can evaluate diverse rural policies, which have been applied to the rural development programs at the village level. The method incorporates spatial econometrics models with a decomposition method that has little been utilized before. We applies the technique to evaluate the rural development programs that have been carried out by the Korea Forest Service and. Korea Rural Development Agency. The technique proved to be quite useful in that the technique efficiently separate the direct effect caused by the government policy from the effect explained by the endowment effect such as regional or area characteristics, and residual effect that cannot be identified by the models. The present study concludes with suggesting more quantitative methods need to be developed to evaluate diverse government policy programs, which enables us to discern correct policy effects.

A Study on Securing Objectivity in Small-Scale Environmental Impact Assessments Using Delphi Analysis

  • Dong-Myung CHO;Ju-Yeon LEE;Woo-Taeg KWON
    • Journal of Wellbeing Management and Applied Psychology
    • /
    • v.7 no.3
    • /
    • pp.73-95
    • /
    • 2024
  • Purpose: Since August 2000, the small-scale environmental impact assessment system has prevented indiscriminate development. However, its qualitative reports lack objectivity and consistency. This study analyzes these issues through literature and expert surveys and proposes improvements. Research Methodology: Samples were selected based on regional consultation numbers. Mitigation measures were categorized into qualitative and quantitative factors. Issues were identified, and improvements suggested. The Delphi method helped select evaluation items and propose a scoring table. Results and Conclusions: The Delphi method selected 14 absolute and 22 relative evaluation items, excluding 3 invalid ones. A 100-point scoring table was created, with points assigned based on element significance. A 1-point bonus was added for top-scoring elements to promote eco-friendly planning.

A Study on Quantitative Evaluation Method for Risk of Work-related Musculoskeletal Disorders Associated with Back Flexion Posture (작업관련성 근골격계질환에 있어서 작업자세 위험도의 정량적 평가방법에 대한 연구 -허리 굴곡 자세를 중심으로-)

  • Park, Dong Hyun;Noh, An Na;Choi, Seo Yeon
    • Journal of the Korea Safety Management & Science
    • /
    • v.16 no.1
    • /
    • pp.119-127
    • /
    • 2014
  • This study tried to develop a basis for quantitative index of working postures associated with WMSDs (Work-related Musculoskeletal Disorders) that could overcome realistic restriction during application of typical checklists for WMSDs evaluation. The baseline data(for a total of 603 jbs) for this study was obtained from automobile manufacturing company. Specifically, data for back posture was analyzed in this study to have a better and more objective method in terms of job relevance than typical methods such as OWAS, RULA, and REBA. Major statistical tools were clustering, logistic regression and so on. The main results in this study could be summarized as follows; 1) The relationship between working posture and WMSDs symptom at back was statistically significant based on the results from logistic regression, 2) Based on clustering analysis, three levels for WMSDs risk at back were produced for flexion as follows: low risk(< $18.5^{\circ}$), medium risk($18.5^{\circ}{\sim}36.0^{\circ}$), high risk(> $36.0^{\circ}$), 3) The sensitivities on risk levels of back flexion was 93.8% while the specificities on risk levels of back flexion was 99.1%. The results showed that the data associated with back postures in this study could provide a good basis for job evaluation of WMSDs at back. Specifically, this evaluation methodology was different from the methods usually used at WMSDs study since it tried to be based on direct job relevance from real working situation. Further evaluation for other body parts as well as back would provide more stability and reliability in WMSDs evaluation study.