• Title/Summary/Keyword: functional paper

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A Study for Natural Dyeing and Functional Property of Paper and Fabrics with Green Laver Extracts (파래 추출액을 이용한 지사용 원지와 직물의 천연 염색성 및 기능성에 관한 연구)

  • Kim, Ki Hoon;Kang, Sul Sang;Lim, Hyun A
    • Korean Journal of Human Ecology
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    • v.23 no.5
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    • pp.861-871
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    • 2014
  • This study explored applicability of natural dyeing and functional property of base paper using paper yarn and fabrics with green laver extracts. As a result of measuring dyeability and functional property of cotton, silk, and a blended fabric of cotton/mulberry, $60^{\circ}C$ and 40 minutes was the optimal dyeing condition for the cotton fabric under an alkali condition; $50^{\circ}C$ and 60 minutes for the silk fabric; $60^{\circ}C$ and 50 minutes for the blended fabric of cotton/mulberry. As a result of measuring the color fastness after dyeing cotton, silk and the blended fabric of cotton/mulberry, fastness to washing, water, rubbing, dry cleaning and light was superior. In terms of functional property, the silk and the blended fabric of cotton/mulberry were superior concerning antimicrobial properties of the fabric dyed with green laver extracts while the cotton fabric showed 90% or over. Regarding deodorization, the blended fabric of cotton/mulberry was the most superior. All the fabrics were harmless to the human body as they had heavy metal content below the standard. Considering the research results comprehensively, the green laver extracts possibly has enough applicability and functional property as a natural dyes. Moreover, it has potential to be developed new eco-friendly fashion materials.

Functional Data Analysis of Temperature and Precipitation Data (기온 강수량 자료의 함수적 데이터 분석)

  • Kang, Kee-Hoon;Ahn, Hong-Se
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.431-445
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    • 2006
  • In this paper we review some methods for analyzing functional data and illustrate real application of functional data analysis. Representing methods for functional data by using basis function, analyzing functional variation by functional principal component analysis and functional linear models are reviewed. For a real application, we use temperature and precipitation data measured in Korea from the January of 1970 to the May of 2004. We apply functional principal component analysis for each data and test the significance of regional division done by using shining hours. We also estimate functional regression model for temperature and precipitation.

On a Method to Analyze and Verify the Functional Safety of ISO 26262 Based on Systems Engineering Framework (기능안전규격 ISO 26262의 효과적 구현을 위한 시스템공학 기반 요구사항 분석/검증 방법)

  • Lim, Gwan-Taik;Lee, Jae-Chon
    • Journal of the Korea Safety Management & Science
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    • v.15 no.3
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    • pp.61-69
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    • 2013
  • According to ISO 26262 (the international standard on functional safety for automotive industry), the functional safety should be considered during the whole automotive systems life cycle from the design phase throughout the production phase. In order to satisfy the standard, the automotive and related industry needs to take appropriate actions while carrying out a variety of development activities. This paper presents an approach to coping with the standard. Analyzing the standard indicates that the safety issues of the automotive systems should be handled with a system's view whereas the conventional approach to solving the issues has been practiced with focus on the component's level. The aforementioned system's view implies that the functional safety shall be incorporated in the system design from both the system's life-cycle view and the hierarchical view for the structure. In light of this, the systems engineering framework can be quite appropriate in the functional safety development and thus has been taken in this paper as a problem solving approach. Of various design issues, the analysis and verification of the safety requirements for functional safety is a key study subject of the paper. Note, in particular, that the conventional FMEA (failure mode effects analysis) and FTA (fault tree analysis) methods seem to be partly relying on the insufficient experience and knowledge of the engineers. To improve this, a systematic method is studied here and the result is applied in the design of an ABS braking system as a case study.

A New Resource Allocation Algorithm of Functional Units to Minimize Power Dissipation (전력소비 최소화를 위한 새로운 펑션유닛의 자원 할당 알고리듬)

  • Lin, Chi-Ho
    • Journal of IKEEE
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    • v.8 no.2 s.15
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    • pp.181-185
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    • 2004
  • This paper reduces power dissipation with the minimum switching activity of functional units that have many operators. Therefore, it has more effects of power dissipation that operator dissipation to reduce power dissipation of whole circuit preferentially. This paper proposes an algorithm that minimize power dissipation in functional units operations that affect much as power dissipation in VLSI circuit. The algorithm has scheduled operands using power library that has information of all operands. The power library upgrades information of input data in each control step about all inputs of functional units and the information is used at scheduling process. Therefore, the power dissipation is minimized by functional units inputs in optimized data. This paper has applied algorithm that proposed for minimizing power dissipation to functional unit in high level synthesis. The result of experiment has effect of maximum 9.4 % for minimizing power dissipation.

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Verification Methods for the Implementation of Non-functional Requirements in Web-based Learning Systems (웹 기반 학습 시스템의 비기능 요구에 대한 구현 검증 기법 연구)

  • Seo, Dongsu;Lee, Heyli
    • The Journal of Korean Association of Computer Education
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    • v.9 no.4
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    • pp.43-54
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    • 2006
  • In general, user requirements in web-based learning systems are divided into functional and non-functional requirements. Developers are responsible for the verification of quality related requirements, which is known to be difficult to perform. This paper suggests a verification method that can be applied in the area where the conformance of implementation for non-functional requirements is required. The paper performs tests for non-functional requirements by using the information extracted from quality related features that have imposed constraints on design activities.

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Functional Data Classification of Variable Stars

  • Park, Minjeong;Kim, Donghoh;Cho, Sinsup;Oh, Hee-Seok
    • Communications for Statistical Applications and Methods
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    • v.20 no.4
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    • pp.271-281
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    • 2013
  • This paper considers a problem of classification of variable stars based on functional data analysis. For a better understanding of galaxy structure and stellar evolution, various approaches for classification of variable stars have been studied. Several features that explain the characteristics of variable stars (such as color index, amplitude, period, and Fourier coefficients) were usually used to classify variable stars. Excluding other factors but focusing only on the curve shapes of variable stars, Deb and Singh (2009) proposed a classification procedure using multivariate principal component analysis. However, this approach is limited to accommodate some features of the light curve data that are unequally spaced in the phase domain and have some functional properties. In this paper, we propose a light curve estimation method that is suitable for functional data analysis, and provide a classification procedure for variable stars that combined the features of a light curve with existing functional data analysis methods. To evaluate its practical applicability, we apply the proposed classification procedure to the data sets of variable stars from the project STellar Astrophysics and Research on Exoplanets (STARE).

The Effect of Country-of-Origin on Customer Purchase Intention: A Study of Functional Products in Vietnam

  • Phuong, Nguyen Ngoc Duy;Dat, Nguyen Tien
    • The Journal of Asian Finance, Economics and Business
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    • v.4 no.3
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    • pp.75-83
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    • 2017
  • This paper examines key determinants and the effect of country-of-origin on customer's purchase intention of functional food and dietary supplement product in Vietnam. Exploratory study was identified to evaluate personal and social factors on customer's buying behavior. Twenty-eight reflective constructs were adapted from literature and designed by using a seven-point Likert scale to facilitate measurement. By using non-probability convenience sampling, data was collected from a survey of 242 Vietnamese who have experienced in buying functional and supplement food. This paper employed partial least square structural equation modeling (PLS-SEM) as a technique employed to analyze the measurement and structural models. The findings provide evidence that social prestige customer perceives and their positive attitude toward functional food which are main factors influencing on consumers' purchase intention. Customer's perceived prestige plays an important role in decision-making process to purchase. The higher social prestige taken up in consumers' mind, the higher consumers' purchase intention is. Moreover, the more positive attitude customer holds toward functional food, the higher consumers' purchase intention. The research results provide useful information in current understanding of what antecedents determine factors influencing customer's intention to purchase functional food and lead to managerial implications for business strategies.