• Title/Summary/Keyword: Component quality

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Quality Variable Prediction for Dynamic Process Based on Adaptive Principal Component Regression with Selective Integration of Multiple Local Models

  • Tian, Ying;Zhu, Yuting
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1193-1215
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    • 2021
  • The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ2 - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.

Classification of Korean Green Tea Products Based on Chemical Components

  • Chun Jong Un;Choi Jeong;Lim Keun-Cheol;Kim Yong-Gul
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.4
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    • pp.295-299
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    • 2004
  • The prices of domestic green tea products are relatively expensive and price differences within products of the same levels of quality are various. Also, there is no basic criteria on evaluation of green tea quality. To group 43 commercial green tea products into several parts by the principal component and cluster analyses, this work was done by use of 8 chemical constituents which were analyzed by NIR system. The principal component and cluster analyses revealed 8 groups. The first group included 16 products that had lower free amino acid and theanine contents. The second group included 5 products having higher free amino acid and theanine contents, but lower ash contents. The third group included 13 products showing medium values of 8 constituents. The IV group included 4 products having higher contents of moisture, free amino acids, and theanine. The V group included 1 product showing higher moisture but lower catechins contents. The VI group included 2 products that had higher moisture and catechins contents, but lower free amino acid and theanine contents. The VII group had higher moisture and catechins contents. The VIII group had higher ash and vitamin C contents. The free amino acid contents which were the most important in flavor evaluation of green tea quality did highly positively correlate with the contents of total nitrogen $(0.956^{**}),\;theanine\;(0.981^{**}),\;and\;caffeine\;(0.793^{**})$, but negatively with the contents of ash $(-0.884^{**})$. The catechins used as for functional ingredients did correlate with contents of caffeine(+) and vitamin C(-), respectively.

Watershed Classification Using Statistical Analysis of water Quality Data from Muju area (무주지역 수질특성자료의 통계학적 분석에 의한 소유역 구분)

  • 한원식;우남칠;이기철;이광식
    • Journal of Soil and Groundwater Environment
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    • v.7 no.3
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    • pp.19-32
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    • 2002
  • This study is objected to identify the relations between surface- and shallow ground-water and the seasonal variation of their qualities in watersheds near Muju area. The water type shows mainly Ca-$HCO_3$type. Heavy-metal contamination of surface water is locally detected, due to the mixing with mine drainage. In October nitrate concentration is especially high in densely populated area. Cluster Analysis and Principal Component Analysis are implemented to interpret the complexity of the chemical variation of surface- and ground-water with large amount of chemical data. Based on the cluster analysis, surface-water was divided into five groups and ground-water into three groups. Principal Component Analysis efficiently supports the result of cluster analysis, allowing the identification of three main factors controlling the water quality. There are (1) hydrogeochemical factor, (2) anthropogenic factor and (3) heavy metal contaminated by mine drainage.

The Quality Properties of Quaternary Component Blended High Fluidity Concrete Using Industrial By-products for Carbon Neutrality (탄소중립을 위한 산업부산물 활용 4성분계 고유동 콘크리트의 품질특성)

  • Yong-Jic, Kim
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.10 no.4
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    • pp.506-513
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    • 2022
  • In this paper, as part of a study for carbon neutrality, the quality properties of quaternary component high-fluidity concrete, which significantly replaced up to 80 % of the cement usage by using three industrial by-products, were evaluated. As a result of the evaluation, even if a large amount of industrial by-products were replaced by more than 80 % of the amount of cement used, it was possible to obtain quality that satisfies the target performance in all concrete mix. In the case of flow properties, mechanical properties, and durability, compared to the existing standard concrete mix, the performance tends to decrease, but it is judged that the performance above the required performance level can be satisfied. When considered comprehensively, the quaternary component High-Fluidity Concrete with a large mixing amount of fine powder of blast furnace slag showed relatively good performance.

Genome-wide Association Study of Integrated Meat Quality-related Traits of the Duroc Pig Breed

  • Lee, Taeheon;Shin, Dong-Hyun;Cho, Seoae;Kang, Hyun Sung;Kim, Sung Hoon;Lee, Hak-Kyo;Kim, Heebal;Seo, Kang-Seok
    • Asian-Australasian Journal of Animal Sciences
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    • v.27 no.3
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    • pp.303-309
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    • 2014
  • The increasing importance of meat quality has implications for animal breeding programs. Research has revealed much about the genetic background of pigs, and many studies have revealed the importance of various genetic factors. Since meat quality is a complex trait which is affected by many factors, consideration of the overall phenotype is very useful to study meat quality. For integrating the phenotypes, we used principle component analysis (PCA). The significant SNPs refer to results of the GRAMMAR method against PC1, PC2 and PC3 of 14 meat quality traits of 181 Duroc pigs. The Genome-wide association study (GWAS) found 26 potential SNPs affecting various meat quality traits. The loci identified are located in or near 23 genes. The SNPs associated with meat quality are in or near five genes (ANK1, BMP6, SHH, PIP4K2A, and FOXN2) and have been reported previously. Twenty-five of the significant SNPs also located in meat quality-related QTL regions, these result supported the QTL effect indirectly. Each single gene typically affects multiple traits. Therefore, it is a useful approach to use integrated traits for the various traits at the same time. This innovative approach using integrated traits could be applied on other GWAS of complex-traits including meat-quality, and the results will contribute to improving meat-quality of pork.

Extraction of Runoff Component from Stage in Tidal River Using Wavelet Transform (Wavelet Transform을 이용한 감조하천 수위자료의 유출성분 추출)

  • Oh, Chang-Ryeol;Lee, Jin-Won;Jung, Sung-Won;Park, Sung-Chun
    • Journal of Korea Water Resources Association
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    • v.40 no.10
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    • pp.793-800
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    • 2007
  • This research applied to Wavelet transform that have soft resolution time and frequency area for stage of Hadong2 station in order to extract to discharge component by rainfall and tidal level component by tide. Approximation component(A6) of last level for wavelet decomposition displayed the biggest energy value 87.77%, and detail component(D3) energy value was 10.70% with periodicity of semidiurnal tide type(about 12 hours). Also skewness, kurtosis values of D3 have similar to tidal level of Yeosu. Approximation component(A6), Detail component(D6, D5) for Hadong2 stage was runoff component, and detail component(D4, D3, D2) was tide component according to effect of tide.

A Study on Development of Network Management Systems base on Component (컴포넌트 기반의 망관리 시스템 개발에 관한 연구)

  • Kim, Haeng-Kon;Kim, Ji-Young
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.937-950
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    • 2004
  • With growing population of internet and web applications, distributed environment is considered to be the standard architecture of application. A network management systems(NMS) is necessary to control and monitor the complex network resources for providing and sharing the heft quality service. We recognize the NMS as a standard infrastructure for supporting efficient networking and a separate commercial applications. We believe every resource including software, hardware and environment for the network management should be separated from special protocols, vendors and applications. Therefore, We need a standard network management system that is efficient and consistent because of the heterogeous network features. In regards to software development, software reuse through assembling and extending the reusable elements such as patterns and components assures to realize the best productivity and quality The component based development(CBD) methodology that can assemble black box though well defined interfaces makes it possible to develop easer and quicker applications and is proved as the best software development solution involved in construction, selection and assembly of components. In this thesis, we describe the architecture for the network management and identify, define and design the components through analysis and design in the network management domain and Identified components mapped to the component architecture. We also specify the component development and design and implement the component for developing the network management. Implemented components apply to the component repository system that register, retrieve and understand the components. We analyze, design and implement the entire network management system based on configuration, connection, performance and fault management through the pre-developed components.

A Comparison Study of Methods about Component Identification (컴포넌트 식별 방법에 관한 비교 연구)

  • 최미숙
    • Journal of the Korea Computer Industry Society
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    • v.3 no.3
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    • pp.383-390
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    • 2002
  • System developments by components are accomplished by creating new software based on independent components having respective function. Generally, component-based software developments are expected to obtain profits caused by reuse of software, such as improvement of quality, rapid development, and efficiency of maintenance. In a component-based system, the most important goal and also key to success is to identify and construct high quality components that may increase reusability. Therefore, it is necessary for component developers to understand strong and weak points of existing component development methodologies in the aspect of identification of component, and to select the most appropriate methodology for the system to be constructed. It is also necessary for component developers to develop a new methodology enabling effective identification of independent components through modification and/or complementation of existing methodologies. The modification and complementation needs comparison and analysis of various existing methodologies. Accordingly, the this paper is to provide explanation for some widely used methodologies representing the existing component-based software development methodologies such as RUP(Rational Unified Process) of Rational company[1,9], CBD96 of Computer Associates company[2,3], UNIFACE of Compuware company[5], and UML components methodology derived from extending of the component developing method of CBD96 by Cheesman and Daniels[4]. The this paper is also to point out respective problems of the representative existing methodologies. Furthermore, component identification methodologies are compared and analyzedon the whole through this paper.

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Effects of sleep quality and occupational stress on health-related quality of life among a university's security workers (일개 대학 경비근로자의 수면의 질과 직무스트레스가 건강관련 삶의 질에 미치는 영향)

  • Park, Gun Woo;Goh, Su-Jin;Kim, Dong Ha;Kim, Hye Lim;Park, Jin Kwan;Yu, Soo-Young;Jeong, Du Young;Chun, Jin-Hee;Hwang, Soon-Young;Cho, Sung-Il
    • Korean Journal of Health Education and Promotion
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    • v.32 no.3
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    • pp.73-83
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    • 2015
  • Objectives: The purpose of this study was to identify the effects of sleep quality and occupational stress on health-related quality of life among a university's security workers. Methods: 128 security workers voluntarily participated in the study. The survey asked demographic, health related, job related factors, the Korean Occupational Stress Scale Short Form(KOSS-SF), sleep quality questionnaire, and 12-Short Form Health Survey version 2.0(SF-12v2). The data were analyzed by using descriptive analysis, t-test, ANOVA, multiple linear regression, and multiple logistic regression. Results: The interrupted rest time was significantly negatively related to occupational stress. The occupational stress significantly affected sleep quality. The significant variable affecting Physical Component Score(PCS) and Mental Component Score(MCS) was sleep quality and occupational stress, respectively. Conclusions: HRQOL was founded to be affected by occupational stress and sleep disorder among the security workers. Based on this study, we suggest that the management of both occupational stress and sleep quality is crucial to improve the HRQOL.

Effects of Personality by Each Sasang Constitution on Sleep (체질별 성격요인이 수면에 미치는 영향)

  • Kim, Sang-Hyuk;Park, Ki-Hyun;Jeong, Kyoungsik
    • Journal of Sasang Constitutional Medicine
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    • v.33 no.3
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    • pp.127-137
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    • 2021
  • Objectives The purpose of this study was to identify the effects of personality by each Sasang constitution on sleep using Positive Affect and Negative Affect Schedule(PANAS) and NEO-personality inventory(NEO-PI). Methods The subjects of this study were 2,078 people who had information on Sasang constitutional type and personality(PANAS, NEO-PI) among the data established at the Korean Medicine Data Center. Sleep time and sleep quality were investigated through self-written questionnaires. Sleep time was collected by hand-writing, and sleep quality was checked on a 4 point Likert scale. Pearson correlation analysis was conducted to see the correlation between personality and sleep in each constitutional type. Logistic regression was performed using personality as independent variables to find out how much personality affects sleep time. In order to find out how much personality affects sleep quality, regression analysis was performed using personality as independent variables. Results & Conclusions Sleep time was hardly affected by personality. As a result of Pearson correlation analysis, sleep time in all subjects did not show a significant correlation with personality. In logistic regression on sleep time as the dependent variable, no statistically significant results were obtained except for the Negative Affect(NA) in Taeeumin. Sleep quality showed a statistically significant correlation with the negative affect(NA), neuroticism(N), extraversion(E), Physical Component Summary(PCS) and Mental Component Summary(MCS). As a result of regression analysis on sleep quality as the dependent variable, neuroticism(N), negative affect(NA), positive affect(PA), and extraversion(E) were found in the factors affecting sleep quality. Besides, how much personality affected sleep quality might differ in each constitution. In all constitutions, sleep quality was affected by N, but the rank of N was different in each constitution. The sleep quality of Soyangin was not affected by E, and the sleep quality of Taeeumin was specifically affected by O.