• Title/Summary/Keyword: Quantitative Analysis

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Design of PESSRAE To Achieve Safety Integrity With FMEDA Analysis (안전무결성을 달성하기 위한 FMEDA 분석 기반 PESSRAE 설계)

  • Heo, Jeho;Kim, Gi-bong;Jung, Gi-Hyun;An, Seokchan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.3
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    • pp.157-165
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    • 2022
  • As the number of the installed escalators in Korea continues to increase, the accident rate is also increasing. Therefore, it would be necessary to proactively secure safety. PESSRAE is a controller that implements safety functions as electric/electronic/programmable electronic devices to respond to risks that may occur in escalators. Safety Integrity Level (SIL) is assigned to the safety functions of PESSRAE and it must be verified that the quantitative target value according to the SIL level is satisfied. In this paper, the initial PESSRAE is analyzed using the FMEDA (Failure Mode, Effects and Diagnostic Analysis), which is a quantitative safety analysis method, and design improvement specifications are derived from the analysis in order to satisfy the quantitative target values. Based on the derived design specifications, the improved PESSRAE controller was manufactured. And the appropriateness of the design was verified experimentally in a testbed environment simulating the real environment.

Implementation of Human Spine Database System for Realizing e-Spine

  • Roh, Hyun Sook;Choi, Boongki;Bae, Kook-jin;Park, Jinseo
    • Proceedings of the Korea Contents Association Conference
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    • 2014.06a
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    • pp.193-194
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    • 2014
  • This paper provides the market opportunity analysis process and technology providing matching process based on the efficient quantitative analysis of a large amount of papers and network analysis. In the future, it is required to analyze and complement the quantitative analysis result by commercialization experts and to build emerging issue database.

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The Detection of Molecular Ion $CsX^+$(X=Al, Ga, As) for Quantitative SIMS Analysis ($CsX^+$(X=Al, Ga, As) 분자이온을 이용한 SIMS의 정량분석)

  • 김차연;김선미;김성태;지종열
    • Journal of the Korean Vacuum Society
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    • v.1 no.1
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    • pp.121-125
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    • 1992
  • Secondary Ion Mass Spectrometry (SIMS) is widely known as highly sensitive a surface analysis technique. Efforts for quantification have been hindered, however, by the presence of matrix effects. Here we describe a new technique for the quantitative analysis of AlxGa1-xAs. Instead of Al+, Ga+, As+ ions, CsX+ ions (X=Al, Ga, As) have been detected. Intensity of these molecular ions appears to be much less affected by matrix effects. We have successfully accomplished the compositional analysis with standard deviation better than 2 percent.

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Quantitative Analysis of Coumarins from Angelica gigas Using $^1H$-NMR

  • Yoo, Jong-Su;Ahn, Eun-Mi;Song, Myoung-Chong;Bang, Myun-Ho;Kim, Dong-Hyun;Han, Min-Woo;Kwak, Ho-Young;Lee, Dae-Young;Lyu, Ha-Na;Baek, Nam-In
    • Food Science and Biotechnology
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    • v.17 no.3
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    • pp.573-577
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    • 2008
  • $^1H$-Nuclear magnetic resonance (NMR) spectrometry was applied to the quantitative analysis of coumarins in the roots of Angelica gigas without any chromatographic purification. The experiment was performed by the analysis of each singlet germinal methyl, which was well separated in the range of 1.0-2.0 ppm in the $^1H$-NMR spectrum. The quantity of the compounds was calculated by the ratio of the intensity of each compound to the known amount of internal standard (dimethyl terephthalate). These results were compared with the conventional gas chromatography (GC) method. The contents of decursin and decursinol angelate in A. gigas were determined $1.98{\pm}0.07$, $1.13{\pm}0.08%$ in quantitative $^1H$-NMR method and $2.06{\pm}0.24$, $1.17{\pm}0.24%$ in GC method, respectively. The advantages of quantitative $^1H$-NMR analysis are that can be analyzed to identify and quantify, and no reference compounds required for calibration curves. Besides, it allows rapid and simple quantification for coumarins with an analysis time for only 10 min without any preprocessing.

MALDI-MS-Based Quantitative Analysis of Bioactive Forms of Vitamin D in Biological Samples

  • Ahn, Da-Hee;Kim, Hee-jin;Kim, Seong-Min;Jo, Sung-Hyun;Jeong, Jae-Hyun;Kim, Yun-Gon
    • Korean Chemical Engineering Research
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    • v.58 no.1
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    • pp.106-112
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    • 2020
  • Analyzing vitamin D levels is important for monitoring health conditions because vitamin D deficiency is associated with various diseases such as rickets, osteomalacia, cardiovascular disorders and some cancers. However, vitamin D concentration in the blood is very low with optimal level of 75 nmol/L, making quantitative analysis difficult. The objective of this study was to develop a highly sensitive analysis method for vitamin D using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-MS). 25-hydroxyvitamin D (25(OH)D), which has been used as an indicator of vitamin D metabolites in human biofluids was chemically derivatized using a secosteroid signal enhancing tag (SecoSET) with powerful dienophile and permanent positive charge. The SecoSET-derivatized 25(OH)D provided good linearity (R2 > 0.99) and sensitivity (limit of quantitation: 11.3 fmol). Chemical derivatization of deuterated 25-hydroxyvitamin D3 (d6-25(OH)D3) with SecoSET enabled absolute quantitative analysis using MALDI-MS. The highly sensitive method could be successfully applied into monitoring of quantitative changes of bioactive vitamin D metabolites after treatment with ketoconazole to inhibit 1α-hydroxylase reaction related to vitamin D metabolism in human breast cancer cells. Taken together, we developed a MALDI-MS-based platform that could quantitatively analyze vitamin D metabolites from cell products, blood and other biofluids. This platform may be applied to monitor various diseases associated with vitamin D deficiency such as rickets, osteomalacia and breast cancer.

Research of Fashion Trend through Analysis on Cue II (단서분석(端緖分析)을 통(通)한 패션트렌드 연구(硏究) II)

  • Lee, Young-Jae
    • Journal of Fashion Business
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    • v.6 no.2
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    • pp.67-76
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    • 2002
  • This research examines the characteristic trends through analysis on cue in the contemporary fashion distinctly and systematically. It is carried out by both qualitative analysis and quantitative analysis. In the qualitative analysis, the four important street fashions of neo-mods/jazz, neo-hippie/grunge, sportivecasual and technos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s S/S. It takes frequency, percentage, $\chi^2$-test and etc. by using the comprehensive tools for statistical treatment. There were significant differences between the S/S fashion. According to the cues, there are also significant differences between the fashion in the 1990s. In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special makeup. 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.

The Role of Quantitative Traits of Leaf Litter on Decomposition and Nutrient Cycling of the Forest Ecosystems

  • Rahman, Mohammed Mahabubur;Tsukamoto, Jiro;Tokumoto, Yuji;Shuvo, Md. Ashikur Rahman
    • Journal of Forest and Environmental Science
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    • v.29 no.1
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    • pp.38-48
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    • 2013
  • Decomposition of plant material is an important component in the study of forest ecosystem because of its critical role in nutrient cycling. Different tree species has different nutrient release patterns, which are related to leaf litter quantitative traits and seasonal environmental factors. The quantitative traits of leaf litter are important predictors of decomposition and decomposition rates increase with greater nutrient availability in the forest ecosystems. At the ecosystem level, litter quantitative traits are most often related to the physical and chemical characteristics of the litter, for example, leaf toughness and leaf mass per unit area, and lignin content tannin and total phenolics. Thus, the analysis of litter quantitative traits and decomposition are highly important for the understanding of nutrient cycling in forest ecosystems. By studying the role of litter quantitative traits on decomposition and nutrient cycling in forest ecosystems will provide a valuable insight to how quantitative traits influence ecosystem nutrient dynamics. Such knowledge will contribute to future forest management and conservation practices.

A Study on Reliability Analysis and Quantitative Risk Analysis for Liquefied Petroleum Gas Station (LPG 충전시설에 대한 신뢰도 분석과 정량적 위험성 분석에 관한 연구)

  • Kim In-Won;Jin Sang-Hwa;Kim Tea-Woo;Kim In-Tae;Yeo Yeong-Koo
    • Journal of the Korean Institute of Gas
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    • v.5 no.4 s.16
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    • pp.40-48
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    • 2001
  • For a Liquified Petroleum Gas(LPG) station, the reliability analysis, such as Fussell-Vesely importance, risk decrease factor and risk increase factor, was carried out and the risk ranks of events were determined. In order to confirm the degree of the risks identified in the reliability analysis, the quantitative risk analysis was done for the equipments which had the large values of risk ranks. As a result of the importance analysis for the LPG station, the external event was identified as the most riskful event. The defect of construction structure and the pipe corrosion were riskful as well. The result of quantitative risk analysis showed that the length of 46.3 meters were estimated to damage the process equipments by the thermal flux from the catastrophic rupture of storage tank in Boiling Liquid Expanding Vapor Explosion.

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A pilot application study of densitometric image analysis as a potential comparative evaluation method for visualized fingerprints

  • Kim, Eun-Ji;Kim, Soo-Kyung;Seo, Kyung-Suk;Choi, Sung-Woon
    • Analytical Science and Technology
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    • v.33 no.4
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    • pp.197-207
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    • 2020
  • The current comparison methods with scoring systems that are used to compare visualized latent fingerprints (LF) have disadvantages. Evaluators using these methods are prone to make errors and fail to discriminate LFs correctly to notice the differences among those LFs. Therefore, a comparative and quantitative evaluation method that is capable of obtaining more objective and quantitative results is needed. Densitometric image analysis (DIA) is used in other fields as a reliable semi-quantitative comparison method. To apply DIA to LFs, the potential variables that can occur during the DIA process were tested. The visualized ridges of LFs can be compared using the concentration of dots against the background to make it possible to analyze the ridges with DIA. The variables that can be present during the DIA process include the thickness of the analysis line, the number of ridges to be taken, the number of divided zones within each of the fingerprints, and the angles of the analysis line against the ridge lines that were selected. From the analysis of the inked fingerprints and circular lines that are similar to fingerprints, the angle of the analysis lines with the ridge line was the most significant variable. The preliminary test result was applied to the comparison of LFs that were developed with the powder method and then compared with the AFIS analysis. A similar trend was found, and a more detailed and semi-quantitative comparison of the visualized LFs was possible. In the future, it is necessary to check the evaluative ability of the DIA method by analyzing the visualized LFs with other various development methods. However, DIA is currently an option that can be used as an objective comparative evaluation method during fingerprint studies with supplementary role.

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.