• Title/Summary/Keyword: Quantitative Data

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A Study on the EPCIS Event Data Modeling and Simulation Test (EPCIS Event 데이터 모델링과 시뮬레이션 검증 연구)

  • Li, Zhong-Shi;Lee, Tae-Yun;Piao, Xue-Hua;Da, Dan;Lee, Chang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.11 no.2
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    • pp.137-144
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    • 2009
  • EPCIS(EPC Information Services) system is a core component of EPCglobal Architecture Framework offering information of the freights, the time of awareness and the location of awareness on the EPCglobal Network. The role of EPCIS is to exchange information based on EPC. There are four kinds of event data which are object event data, aggregation event data, quantity event data, and transaction event data. These EPCIS events data are stored and managed in EPCIS repository. This study suggest the quantitative modeling about total number of EPCIS event data under the assumption to aware the RFID tags of items, cases(boxes), vehicles(carriers, forklifts, auto guided vehicles, rolltainers) at a time on the reading points. We also estimate the number of created EPCIS event data by the suggested quantitative modeling under scenario of process in the integrated logistics center based on RFID system And this study compare the TO-BE model with the AS-IS model about the total sizes of created EPCIS event data using the simulation, in which we suggested the TO-BE model as the development of the repository by skipping the overlapped records.

Use of Quantitative CT to Predict Postoperative Lung Function (Comparison of Quantitative CT and Perfusion Lung Scan) (폐절제술후의 폐기능 예측에 대한 나선식 정량적 CT의 유용성 (나선식 정량적 CT와 폐관류스캔과의 비교))

  • 이조한
    • Journal of Chest Surgery
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    • v.33 no.10
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    • pp.798-805
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    • 2000
  • Background : the prediction on changes in the lung function after lung surgery would be an important indicator in terms of the operability and postoperative complications. In order to predict the postoperative FEV1 - the commonly used method for measuring changes in lung function- a comparison between the quantitative CT and the perfusion lung scan was made and proved its usefulness. Material and Method : The subjects included 22 patients who received perfusion lung scan and quantitative CT preoperatively and with whom the follow-up of PFT were possibles out of the pool of patients who underwent right lobectomy or right pneumonectomy between June of 1997 and December of 1999. The FEV1 and FVC were calibrated by performing the PFT on each patient and then the predicted FEV1 and FVC were calculated after performing perfusion lung scan and quantitative CT postoperatively. The FEV1 and FVC were calibrated by performing the PFT after 1 week and after 3 momths following the surgery. Results : There was a significant mutual scan and the actual postoperative FEV1 and FVC at 1 week and 3 months. The predicted FEV1 and FVC(pneumonectomy group : r=0.962 and r=0.938 lobectomy group ; r=0.921 and r=913) using quantitative CT at 1 week postoperatively showed a higher mutual relationship than that predicted by perfusion lung scan(pneumonectomy group : r=0.927 and r=0.890 lobectomy group : r=0.910 and r=0.905) The result was likewise at 3 months postoperatively(CT -pneumonectomy group : r=0.799 and r=0.882 lobectomy group : r=0.934 and r=0.932) Conclusion ; In comparison to perfusion lung scan quantitative CT is more accurate in predicting lung function postoperatively and is cost-effective as well. Therefore it can be concluded that the quantitative CT is an effective method of replacing the perfusion lung scan in predicting lung function post-operatively. However it is noted that further comparative analysis using more data and follow-up studies of the patients is required.

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Identification of ginseng root using quantitative X-ray microtomography

  • Ye, Linlin;Xue, Yanling;Wang, Yudan;Qi, Juncheng;Xiao, Tiqiao
    • Journal of Ginseng Research
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    • v.41 no.3
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    • pp.290-297
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    • 2017
  • Background: The use of X-ray phase-contrast microtomography for the investigation of Chinese medicinal materials is advantageous for its nondestructive, in situ, and three-dimensional quantitative imaging properties. Methods: The X-ray phase-contrast microtomography quantitative imaging method was used to investigate the microstructure of ginseng, and the phase-retrieval method is also employed to process the experimental data. Four different ginseng samples were collected and investigated; these were classified according to their species, production area, and sample growth pattern. Results: The quantitative internal characteristic microstructures of ginseng were extracted successfully. The size and position distributions of the calcium oxalate cluster crystals (COCCs), important secondary metabolites that accumulate in ginseng, are revealed by the three-dimensional quantitative imaging method. The volume and amount of the COCCs in different species of the ginseng are obtained by a quantitative analysis of the three-dimensional microstructures, which shows obvious difference among the four species of ginseng. Conclusion: This study is the first to provide evidence of the distribution characteristics of COCCs to identify four types of ginseng, with regard to species authentication and age identification, by X-ray phase-contrast microtomography quantitative imaging. This method is also expected to reveal important relationships between COCCs and the occurrence of the effective medicinal components of ginseng.

Analysis of software quantitative evaluation index using ISO/IEC 25023 (ISO/IEC 25023을 활용한 소프트웨어 정량적 평가지표 분석)

  • Kim, Suwook;Park, Yoohyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.7-12
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    • 2019
  • Variety of companies which carry out R&D projects supported by government are proposing quantitative evaluation index business plans. However, Many companies have difficulties in aspects of selecting quantitative evaluation index and in some cases they have troubles to get results from selecting unsuitable evaluation index. First of all, both methods of gathering the data to be analyzed and the products which are tested by the accredited testing institutes classifying by industrial sectors are classified as the quantitative evaluation index selected by the company according to the eight quality characteristics of ISO/IEC 25023 Standard. Secondly, based on the results of the quantitative evaluation indexes classified into eight quality characteristics of the ISO/IEC 25023 standard, the tendency of the quality characteristics of the quantitative evaluation indexes selected mainly by the companies will be understandable. It is hopefully expected that this research will be helpful to select a quantitative evaluation index to evaluate the quality of software products.

Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography

  • Hwayeong Cheon;Young-Je Son;Sung Bae Park;Pyoung-Seop Shim;Joo-Hiuk Son;Hee-Jin Yang
    • Journal of Korean Neurosurgical Society
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    • v.66 no.4
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    • pp.382-392
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    • 2023
  • Objective : The use of indocyanine green videoangiography (ICG-VA) to assess blood flow in the brain during cerebrovascular surgery has been increasing. Clinical studies on ICG-VA have predominantly focused on qualitative analysis. However, quantitative analysis numerical modelling for time profiling enables a more accurate evaluation of blood flow kinetics. In this study, we established a multiple exponential modified Gaussian (multi-EMG) model for quantitative ICG-VA to understand accurately the status of cerebral hemodynamics. Methods : We obtained clinical data of cerebral blood flow acquired the quantitative analysis ICG-VA during cerebrovascular surgery. Varied asymmetric peak functions were compared to find the most matching function form with clinical data by using a nonlinear regression algorithm. To verify the result of the nonlinear regression, the mode function was applied to various types of data. Results : The proposed multi-EMG model is well fitted to the clinical data. Because the primary parameters-growth and decay rates, and peak center and heights-of the model are characteristics of model function, they provide accurate reference values for assessing cerebral hemodynamics in various conditions. In addition, the primary parameters can be estimated on the curves with partially missed data. The accuracy of the model estimation was verified by a repeated curve fitting method using manipulation of missing data. Conclusion : The multi-EMG model can possibly serve as a universal model for cerebral hemodynamics in a comparison with other asymmetric peak functions. According to the results, the model can be helpful for clinical research assessment of cerebrovascular hemodynamics in a clinical setting.

Development and Adaption of Sustainablility Evaluation Indicators for Chungcheongbuk-Do Province - Adopting Quantitative & Qualitive Indicators - (충청북도 지속가능성 평가지표의 개발 및 적용 - 정량적 정성적 지표의 도입 -)

  • Moon, Seok-ki;Yu, Byong-Deuk
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.1
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    • pp.85-100
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    • 2016
  • Local Agenda 21 organizations have been founded at the most divisions of local government in Chungcheongbuk-Do, but there has been no methods to monitor the total Sustainable Development trends. For the alternative solution of that problem in the Province, this study purposed (1) to develop Indicators fit to this Province (2) to examine the availability of the developed indicators adopting to each division section. Indicators were developed and examined by fields and Quantity / Quality considerations. As a 1st step, committee-composed with field professionals each-selected and developed Quantitative Sustainable Development Indicators(SDIs) optimized to Chungbuk-Province through critical discussions proposing Qualitative Indicators as a suggestion. In 2nd step, developed Indicators were applied and tested upon each divisions. Statistic data were used to calculate indices. 3rd step is adoption stage of Qualitative Indicators which were tested with questionnaire survey analysis. As a results, SDIs for Chungcheongbuk-Do -38 Quantitative SDIs within 4 provisions of 11 items with 8 Qualitative indicators categorization be put off- is developed. With the application test, 5 Quantitative Indicators- were found to be not adaptable because of lack or none of statistic data. Among the 8 Qualitative Indicators, 3 pairs found to be similar results in each pair which needed to be integrated into one. With them, bio-species related and health related Indicators were proposed to be newly added. Nation wide Sustainability comparison between divisions and Ecological Indicator selection are another themes to be considered.

A Study on the Procedure of Quantitative Risk Assessment for High Pressure Natural Gas Pipeline (도시가스 고압배관의 정량적 위험평가 절차에 관한 연구)

  • Lee, Kyung-Sik;Jo, Young-Do;Ryou, Young-Don;Ko, Jae-Wook
    • Journal of the Korean Institute of Gas
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    • v.12 no.2
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    • pp.25-31
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    • 2008
  • Recently risk management based on a quantitative assessment is considered to improve the level of safety in Korea. This paper focuses on the procedure of the quantitative risk assessment for natural gas pipelines. For that purpose, the methods to estimate failure frequency based on failure causes from European Gas Pipeline Incident Data Group and BG Transco, to analyze consequence caused by fire, and to calculate individual risk and societal risk have been proposed systematically in this paper. Risk criteria of individual risk and societal risk have been proposed by considering the environment of pipeline route in Korea. The proposed procedure of quantitative risk assessment may be useful for risk management during the planning and building stages of a new pipeline, and modification of buried pipeline.

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A Study on the Quantitative Evaluation of Initial Coin Offering (ICO) Using Unstructured Data (비정형 데이터를 이용한 ICO(Initial Coin Offering) 정량적 평가 방법에 대한 연구)

  • Lee, Han Sol;Ahn, Sangho;Kang, Juyoung
    • Smart Media Journal
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    • v.11 no.5
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    • pp.63-74
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    • 2022
  • Initial public offering (IPO) has a legal framework for investor protection, and because there are various quantitative evaluation factors, objective analysis is possible, and various studies have been conducted. In addition, crowdfunding also has several devices to prevent indiscriminate funding as the legal system for investor protection. On the other hand, the blockchain-based cryptocurrency white paper (ICO), which has recently been in the spotlight, has ambiguous legal means and standards to protect investors and lacks quantitative evaluation methods to evaluate ICOs objectively. Therefore, this study collects online-published ICO white papers to detect fraud in ICOs, performs ICO fraud predictions based on BERT, a text embedding technique, and compares them with existing Random Forest machine learning techniques, and shows the possibility on fraud detection. Finally, this study is expected to contribute to the study of ICO fraud detection based on quantitative methods by presenting the possibility of using a quantitative approach using unstructured data to identify frauds in ICOs.

Qualitative Research in Healthcare: Necessity and Characteristics

  • Jeehee Pyo;Won Lee;Eun Young Choi;Seung Gyeong Jang;Minsu Ock
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.1
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    • pp.12-20
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    • 2023
  • Quantitative and qualitative research explore various social phenomena using different methods. However, there has been a tendency to treat quantitative studies using complicated statistical techniques as more scientific and superior, whereas relatively few qualitative studies have been conducted in the medical and healthcare fields. This review aimed to provide a proper understanding of qualitative research. This review examined the characteristics of quantitative and qualitative research to help researchers select the appropriate qualitative research methodology. Qualitative research is applicable in following cases: (1) when an exploratory approach is required on a topic that is not well known, (2) when something cannot be explained fully with quantitative research, (3) when it is necessary to newly present a specific view on a research topic that is difficult to explain with existing views, (4) when it is inappropriate to present the rationale or theoretical proposition for designing hypotheses, as in quantitative research, and (5) when conducting research that requires detailed descriptive writing with literary expressions. Qualitative research is conducted in the following order: (1) selection of a research topic and question, (2) selection of a theoretical framework and methods, (3) literature analysis, (4) selection of the research participants and data collection methods, (5) data analysis and description of findings, and (6) research validation. This review can contribute to the more active use of qualitative research in healthcare, and the findings are expected to instill a proper understanding of qualitative research in researchers who review qualitative research reports and papers.

Analysis of Consulting Research Trends Using Topic Modeling (토픽 모델링을 활용한 컨설팅 연구동향 분석)

  • Kim, Min Kwan;Lee, Yong;Han, Chang Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.46-54
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    • 2017
  • 'Consulting', which is the main research topic of the knowledge service industry, is a field of study that is essential for the growth and development of companies and proliferation to specialized fields. However, it is difficult to grasp the current status of international research related to consulting, mainly on which topics are being studied, and what are the latest research topics. The purpose of this study is to analyze the research trends of academic research related to 'consulting' by applying quantitative analysis such as topic modeling and statistic analysis. In this study, we collected statistical data related to consulting in the Scopus DB of Elsevier, which is a representative academic database, and conducted a quantitative analysis on 15,888 documents. We scientifically analyzed the research trends related to consulting based on the bibliographic data of academic research published all over the world. Specifically, the trends of the number of articles published in the major countries including Korea, the author key word trend, and the research topic trend were compared by country and year. This study is significant in that it presents the result of quantitative analysis based on bibliographic data in the academic DB in order to scientifically analyze the trend of academic research related to consulting. Especially, it is meaningful that the traditional frequency-based quantitative bibliographic analysis method and the text mining (topic modeling) technique are used together and analyzed. The results of this study can be used as a tool to guide the direction of research in consulting field. It is expected that it will help to predict the promising field, changes and trends of consulting industry related research through the trend analysis.