• Title/Summary/Keyword: Model Composition

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Estimation of Lower Heating Value (LHV) of Municipal Solid Waste (MSW) Being Brought into C Incinerator Using Multiple Regression Analysis (회귀분석을 이용한 C소각장에 반입되는 도시고형폐기물의 저위발열량 예측)

  • Kim, Eun-Young;Seo, Jeoung-Yoon
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.8
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    • pp.540-546
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    • 2013
  • The main purpose of the present study was to establish a quicker and cheaper model for predicting the LHV of MSW based on its wet physical composition being brought into C Incinerator. The one regression model was developed to correlate the energy content with variables from physical composition based on a wet matter. The performance of this model for MSW of the C Incinerator was superior to that of equations developed on a dry matter basis by other researchers for estimating energy content. The applicability of this model at the other 4 incinerators showed also an acceptable precision level.

A ketogenic diet reduces body weight gain and alters insulin sensitivity and gut microbiota in a mouse model of diet-induced obesity

  • Sumin Heo;Soo Jin Yang
    • Journal of Nutrition and Health
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    • v.56 no.4
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    • pp.349-360
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    • 2023
  • Purpose: Ketogenic diets (KDs) have anti-obesity effects that may be related to glucose control and the gut microbiota. This paper hypothesizes that KD reduces body weight and changes the insulin sensitivity and gut microbiota composition in a mouse model of diet-induced obesity. Methods: In this study, C57BL/6 male mice were assigned randomly to 3 groups. The assigned diets were provided to the control and high-fat (HF) diet groups for 14 weeks. The KD group was given a HF diet for 8 weeks to induce obesity, followed by feeding the KD for the next 6 weeks. Results: After the treatment period, the KD group exhibited a 35.82% decrease in body weight gain compared to the HF group. In addition, the KD group demonstrated enhanced glucose control, as shown by the lower levels of serum fasting glucose, serum fasting insulin, and the homeostatic model assessment of insulin resistance, compared to the HF group. An analysis of the gut microbiota using 16S ribosomal RNA sequencing revealed a significant decrease in the proportion of Firmicutes when the KD was administered. In addition, feeding the KD reduced the overall alpha-diversity measures and caused a notable separation of microbial composition compared to the HF diet group. The KD also led to a decrease in the relative abundance of specific species, such as Acetatifactor_muris, Ligilactobacillus_apodemi, and Muribaculum_intestinale, compared with the HF group. These species were positively correlated with the body weight, whereas the abundant species in the KD group (Kineothrix_alysoides and Saccharofermentans_acetigenes) showed a negative correlation with body weight. Conclusion: The current study presents supporting evidence that KD reduced the body weight and altered the insulin sensitivity and gut microbiota composition in a mouse model of diet-induced obesity.

Characteristics of Electric-Power Use in Residential Building by Family Composition and Their Income Level (거주자 구성유형 및 소득수준에 따른 주거용 건물 내 전력소비성향)

  • Seo, Hyun-Cheol;Hong, Won-Hwa;Nam, Gyeong-Mok
    • Journal of the Korean housing association
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    • v.23 no.6
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    • pp.31-38
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    • 2012
  • In this paper, we draws tendency of the electricity consumption in residential buildings according to inhabitants Composition types and the level of incomes. it is necessary to reduce energy cost and keep energy security through the electricity demand forecasting and management technology. Progressive social change such as increases of single household, the aging of society, increases in the income level will replace the existing residential electricity demand pattern. However, Only with conventional methods that using only the energy consumption per-unit area are based on Energy final consumption data can not respond to those social and environmental change. To develop electricity demand estimation model that can cope flexibly to changes in the social and environmental, In this paper researches propensity of electricity consumption according to the type of residents configuration, the level of income. First, we typed form of inhabitants in residential that existed in Korea. after that we calculated hourly electricity consumption for each type through National Time-Use Survey performed at the National Statistical Office with considering overlapping behavior. Household appliances and retention standards according to income level is also considered.

A Global Graph-based Approach for Transaction and QoS-aware Service Composition

  • Liu, Hai;Zheng, Zibin;Zhang, Weimin;Ren, Kaijun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.7
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    • pp.1252-1273
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    • 2011
  • In Web Service Composition (WSC) area, services selection aims at selecting an appropriate candidate from a set of functionally-equivalent services to execute the function of each task in an abstract WSC according to their different QoS values. In despite of many related works, few of previous studies consider transactional constraints in QoS-aware WSC, which guarantee reliable execution of Composite Web Service (CWS) that is composed by a number of unpredictable web services. In this paper, we propose a novel global selection-optimal approach in WSC by considering both transactional constraints and end-to-end QoS constraints. With this approach, we firstly identify building rules and the reduction method to build layer-based Directed Acyclic Graph (DAG) model which can model transactional relationships among candidate services. As such, the problem of solving global optimal QoS utility with transactional constraints in WSC can be regarded as a problem of solving single-source shortest path in DAG. After that, we present Graph-building algorithms and an optimal selection algorithm to explain the specific execution procedures. Finally, comprehensive experiments are conducted based on a real-world web service QoS dataset. The experimental results show that our approach has better performance over other competing selection approaches on success ratio and efficiency.

Numerical Study on the Stabilization of Turbulent Swirling Lifted Premixed Syngas Flames (석탄가스 난류선회유동 예혼합부상화염의 안정성 해석)

  • Kang, Sung-Mo;Lee, Jeong-Won;Kim, Yong-Mo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.349-352
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    • 2008
  • This study has numerically modeled the combustion processes of the turbulent swirling premixed lifted syngas flames in the low-swirl burner (LSB). In these turbulent swirling premixed flames, the four tangentially-injected air jets induce the turbulent swirling flow which plays the crucial role of stabilizing the turbulent lifted flames. In the present approach, the turbulence-chemistry interaction is represented by the level-set based flamelet model. Numerical results indicate clearly that the present level-set based flamelet approach has realistically simulated the structure and stabilization mechanism of the turbulent swirling premixed lifted flames in the low-swirl burner. Computations are made for the wide range of the syngas chemical composition and the dilution level at two pressure conditions (1.0, 5.0 bar). Numerical results indicate that the lifted height in the LSB is increased by decreasing the H2 percentage and increasing the dilution level at the given equivalence ratio. It is also found that the flashback is occurred for the hydrogen composition higher than 80% at the equivalence ratio, 0.8. However, at the syngas composition range in the IGCC system, the stable lean-premixed lifted flames are formed at the low-swirl burner.

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Probabilistic Location Choice and Markovian Industrial Migration a Micro-Macro Composition Approach

  • Jeong, Jin-Ho
    • Journal of the Korean Regional Science Association
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    • v.11 no.1
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    • pp.31-60
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    • 1995
  • The distribution of economic activity over a mutually exclusive and exhaustive categorical industry-region matrix is modeled as a composition of two random components: the probability-like share distribution of jobs and the dynamic evolution of absolute aggregates. The former describes the individual activity location choice by comparing the predicted profitability of the current industry-region pair against that of all other alternatives based on the available information on industry-specific, region specific, or activity specific attributes. The latter describes the time evolution of macro-level aggregates using a dynamic reduced from model. With the seperation of micro choice behavior and macro dynamic aggregate constraint, the usual independence and identicality assumptions become consistent with the activity share distribution, hence multi-regional industrial migration can be represented by a set of probability evolution equations in a conservative Markovian from. We call this a Micro-Macro Composition Approach since the product of the aggregate prediction and the predicted activity share distribution gives the predicted activity distribution gives the predicted activity distribution which explicitly considers the underlying individual choice behavior. The model can be applied to interesting practical problems such as the plant location choice of multinational enterprise, the government industrial ploicy to attract international firms, and the optimal tax-transfer mix to influence activity location choice. We consider the latter as an example.

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A Brief Review of κ-Carbide in Fe-Mn-Al-C Model Alloys

  • Seol, Jae Bok
    • Applied Microscopy
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    • v.48 no.4
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    • pp.117-121
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    • 2018
  • The multiple length scale analysis of previously designed Fe-Mn-Al-C based low-density model alloys reveals the difference in ordered ${\kappa}-carbide$, $(Fe,Mn)_3AlC_x$, between Fe-25Mn-16Al-5.2C (at%) alloy and Fe-3Mn-10Al-1.2C (at%) alloy. For the former alloy composition consisting of fully austenite grains, ${\kappa}-carbide$ showed majorly cuboidal and minorly pancake morphology and its chemical composition was not changed through aging for 24 h and 168 h at $600^{\circ}C$. Meanwhile, for the isothermally annealed ferritic alloy system for 1 hr at 500 and $600^{\circ}C$, the dramatic change in the chemical composition of needle-shape ${\kappa}-carbide$, $(Fe,Mn)_3(Fe,Al)C_x$, was found. Here we address that the compositional fluctuations in the vicinity of the carbides are significantly controlled by abutting phase, either austenite or ferrite. Namely, the cooperative ordering of carbon and Al is an important factor contributing to carbide formation in the high-Mn and high-Al alloyed austenitic steel, while the carbon and Mn for the low-Mn and high Al alloyed ferritic steel.

Development and Evaluation of an App-Based Self-Management Program for Exercise Practice of Breast Cancer Survivors: A Non-Randomized Controlled Trial (유방암 생존자의 운동실천을 위한 앱 기반 자가관리 프로그램 개발 및 효과: 비무작위 대조군 실험연구)

  • Maeng, Suyoun;Yu, Jungok
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.250-265
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    • 2024
  • Purpose: This study aimed to develop an app-based self-management program based on the transtheoretical model (TTM) for breast cancer survivors' exercise practice, as well as to investigate the program's effects on the stage of change for exercise, exercise self-efficacy, exercise decisional balance, exercise amount, and body composition. Methods: This non-randomized controlled study included 52 participants (26 in each of the experimental and control groups, respectively). An app-based self-management program based on the TTM was conducted with the experimental group for a 12-week period. The program comprised three components: individual coaching for each stage of change for exercise based on TTM, amount of exercise and body composition monitoring, and online self-help meetings. Results: Compared with the control group, the experimental group had significantly higher stages of change for exercise (p < .001), exercise self-efficacy (p < .001), exercise decisional balance (p = .002), exercise amount (p < .001), and body composition (body weight [p = .006], body mass index [p = .005], and body fat percentage [p = .010]) immediately and four weeks after the intervention. Conclusion: An app-based self-management program based on the TTM improves exercise behaviors in breast cancer survivors and provides physical benefits.

A Study on the Characteristics of he Space Composition of the Medium Large Size Apartments' Unit Plan in Gyeongnam (경남지역 중대형 아파트의 단위세대 평면구성 특성에 관한 연구)

  • Han, Min-Jeong
    • Journal of the Korean housing association
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    • v.19 no.5
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    • pp.1-10
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    • 2008
  • This study attempts to analyze the characteristics of the space composition of the apartments and the general principles of apartments unit plans in Gyeongnam. Literature review and content analysis method were used in his research. The data of 108 unit plans were collected from e-catalogue and model houses of housing construction firms. The results of this study were as follows; 1) The general principle of Gyeongnam apartment unit plans, the tendency of 4LDk+2BATH type, 4bay, central type living room were showed. 2) In the point LDK and couple's bed room, LDK area become large and open type and couple's bed room were showed bed room+dress+powder+bath type as Maser's zone. 3) The entrance has a intermediate space as a balcony or a former space and the privacy of LDK space was protected from the entrance. 4) In the case of support space, generally support kitchen and laundry space were offered and several balconies were utilized. In fact, he differences of apartment plan composition between central cities and Gyeongnam were no showed. Therefore, these tendencies on plan composition of apartment in Gyeongnam were followed the general principles of Korean unit plans.

The Design and Implementation of Individual Level Multimedia CAI Title for Enhancing Composition Ability (초등학교 논술 능력 향상을 위한 수준별 멀티미디어 CAI 타이틀 설계 및 구현)

  • Kim, Young-Ju;Lee, Jong-Il
    • Journal of The Korean Association of Information Education
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    • v.3 no.1
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    • pp.94-115
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    • 1999
  • Multimedia CAI programs have been produced which encourage self-study and positive learning activities. With instant feedback from the CAI program, students' errors can be corrected easily and the composition ability can be advanced have been done. To increase students' computer capability and composition abilities the following studies. 1. Make an estimate about the factors affecting composition themes and prepare a course based on individual students' needs. 2. Design and implement CAI programs for the enhancement of composition ability. 3. Find an effective teaching-learning model for the generalization of the CAI title and then verify the results.

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