• Title/Summary/Keyword: construction indicator

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Titanium Acetylacetonate as an Excellent Ion-Carrier in Construction of Iodide Sensor

  • Ganjali, Mohammad Reza;Daftari, Azadeh;Mizani, Farhang;Salavati-Niasari, Masoud
    • Bulletin of the Korean Chemical Society
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    • v.24 no.1
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    • pp.23-26
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    • 2003
  • Titanium acetylacetonate was used in the construction of a PVC-based membrane electrode. This sensor shows very good selectivity for iodide ion over a wide variety of common inorganic and organic anions. It exhibits Nernstian behavior with a slope of 59.1 mV per decade. The working concentration ranges of the sensor are with a detection limit of $3.0\;{\times}\;10^{-6}\;M$. The response time of the sensor is very fast (<8 s), and can be used for at least twelve weeks in the pH range of 4.0-9.2. The best performance was obtained with a membrane composition of 30% PVC, 65% dibutylphthalate, 3% titanium acetylacetonate and 2% hexadecyltrimethylammonium bromide. The proposed sensor was successfully applied as an indicator electrode for titration of iodide with silver ion.

A Fundamental Study on the Effect of Activation Function in Predicting Carbonation Progress Using Deep Learning Algorithm (딥러닝 알고리즘 기반 탄산화 진행 예측에서 활성화 함수 적용에 관한 기초적 연구)

  • Jung, Do-Hyun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.60-61
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    • 2019
  • Concrete carbonation is one of the factors that reduce the durability of concrete. In modern times, due to industrialization, the carbon dioxide concentration in the atmosphere is increasing, and the impact of carbonation is increasing. So, it is important to understand the carbonation resistance according to the concrete compounding to secure the concrete durability life. In this study, we want to predict the concrete carbonation velocity coefficient, which is an indicator of the carbonation resistance of concrete, through the deep learning algorithm, and to find the activation function suitable for the prediction of carbonation rate coefficient as a process to determine the learning accuracy through the deep learning algorithm. In the scope of this study, using the ReLU function showed better accuracy than using other activation functions.

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HOUSING PRICE MODEL USING GIS IN SEOUL (APPLICATIONS OF STRUCTURAL EQUATION MODELING)

  • Kyong-Hoon Kim;Jae-Jun Kim;Bong-Sik Kim
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.366-375
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    • 2007
  • Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of condominium price between the north and south of the Han river. Because the housing price is deciede by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. In this study, I analyzed the differences of housing price determinants about condominium developments in the old and new residential areas, and found the important factors that affect the condominium price using Structural Equation Modeling(SEM) The purpose of study is to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy.

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Determining Key Ecological Indicators for Urban Land Consolidation

  • Kuo-Liang Lin
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.513-524
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    • 2009
  • Urban land consolidation, which is to reform land parcels to remove fragmentation and produce ideal blocks, is an effective means for urban renewal. Successful urban land consolidation brings out great benefits to the city officials as well as general public, such as improved city image, increased land value, and more effective land use. However, urban land consolidation can be detrimental to environment, especially in the ecological aspects, while the execution of land consolidation has been focused solely on development for the sake of human benefits. To remove negative effects of urban land consolidation to the ecological system, this paper is intended to establish a set of criteria for evaluating ecological impacts of an urban land consolidation plan. Firstly, key ecological indicators are identified using a special group decision-making process called "habitual domain analysis" and then individual weighting of each indicator is recorded by analytical hierarchy process. An urban ecological evaluation model with 4 levels and 23 indicators is thus developed.

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Forecasting Housing Demand with Big Data

  • Kim, Han Been;Kim, Seong Do;Song, Su Jin;Shin, Do Hyoung
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.44-48
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    • 2015
  • Housing price is a key indicator of housing demand. Actual Transaction Price Index of Apartment (ATPIA) released by Korea Appraisal Board is useful to understand the current level of housing price, but it does not forecast future prices. Big data such as the frequency of internet search queries is more accessible and faster than ever. Forecasting future housing demand through big data will be very helpful in housing market. The objective of this study is to develop a forecasting model of ATPIA as a part of forecasting housing demand. For forecasting, a concept of time shift was applied in the model. As a result, the forecasting model with the time shift of 5 months shows the highest coefficient of determination, thus selected as the optimal model. The mean error rate is 2.95% which is a quite promising result.

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Construction and Validation of a Cognitive Presence Scale for Measuring Online Learners' Engagement

  • KANG, Myunghee;CHOI, Hyungshin
    • Educational Technology International
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    • v.10 no.1
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    • pp.41-57
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    • 2009
  • Cognitive presence, a sense of "being there" cognitively, has recently been considered as an important indicator for students' engagement in e-learning. There is, however, no widely accepted scale to measure the level of cognitive presence since most studies have put their effort to set and clarify the conceptual framework with qualitative methodology. This study reviewed existing theories on cognitive presence and related fields extensively and developed a new self-report scale for measuring the conceived level of cognitive presence. The reliability and validity of the scale was tested against 723 undergraduate students in two consecutive studies, 418 in the preliminary and 305 in the follow-up study. Three major constructs to measure the perceived level of cognitive presence were: 1) clear understanding, 2) knowledge construction, and 3) learning management. This paper reports the final results of the two independent studies.

Causal Relationship Analysis of the Factors Lowering Productivity in Construction Job Site (건축공사 현장의 생산성 저하요인 인과관계 구조분석)

  • Jung, Yunho;Kim, Dongwook;Hong, Minki;Jang, Hyounseung
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.1
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    • pp.99-110
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    • 2020
  • Productivity is also a very important indicator in the construction industry as it can measure economic growth and the efficiency of each related production activity, either at the industrial level or at the corporate level. Technical factors indeed have a great impact on productivity, but in order to improve productivity in the actual construction industry, various productivity factors must be analyzed first, and the efforts to improve productivity at the project level are more important than the efforts to improve productivity at the construction industry level, which are addressed from a macro perspective. This study was designed to provide basic data for efficient productivity management activities of the project by selecting priority management factors through the causal analysis of the factors and the elicitation of the productivity degradation factors at the construction site to improve the quality of the construction industry.

Construction and Preliminary Immunobiological Characterization of a Novel, Non-Reverting, Intranasal Live Attenuated Whooping Cough Vaccine Candidate

  • Cornford-Nairns, R.;Daggard, G.;Mukkur, T.
    • Journal of Microbiology and Biotechnology
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    • v.22 no.6
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    • pp.856-865
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    • 2012
  • We describe the construction and immunobiological properties of a novel whooping cough vaccine candidate, in which the aroQ gene, encoding 3-dehydroquinase, was deleted by insertional inactivation using the kanamycin resistance gene cassette and allelic exchange using a Bordetella suicide vector. The aroQ B. pertussis mutant required supplementation of media to grow but failed to grow on an unsupplemented medium. The aroQ B. pertussis mutant was undetectable in the trachea and lungs of mice at days 6 and 12 post-infection, respectively. Antigen-specific antibody isotypes IgG1 and IgG2a, were produced, and cell-mediated immunity [CMI], using interleukin-2 and interferon-gamma as indirect indicators, was induced in mice vaccinated with the aroQ B. pertussis vaccine candidate, which were substantially enhanced upon second exposure to virulent B. pertussis. Interleukin-12 was also produced in the aroQ B. pertussis-vaccinated mice. On the other hand, neither IgG2a nor CMI-indicator cytokines were produced in DTaP-vaccinated mice, although the CMI-indicator cytokines became detectable post-challenge with virulent B. pertussis. Intranasal immunization with one dose of the aroQ B. pertussis mutant protected vaccinated mice against an intranasal challenge infection, with no pathogen being detected in the lungs of immunized mice by day 7 post-challenge. B. pertussis aroQ thus constitutes a safe, non-reverting, metabolite-deficient vaccine candidate that induces both humoral and cell-mediated immune responses with potential for use as a single-dose vaccine in adolescents and adults, in the first instance, with a view to disrupting the transmission cycle of whooping cough to infants and the community.

Development of A Model for Diagnosing Management Capabilities of Public Facility (공공시설물관리 역량 진단 모델 개발)

  • Sung, Yookyung;Yoo, Wi Sung
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.6
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    • pp.555-566
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    • 2020
  • Recently, the aging of public facilities in Korea have accelerated, and the existing framework for facility management is shifting toward to facility asset management in terms of performance-based proactive control. Therefore, the operation of public facility involves both safety assurance from the deteriorated facilities and management capabilities for sustainable maintenance in the required valuation and level of service, such as valuation of facility assets, life-cycle management plans, financing, and so on. In this study, the Facility Asset Management Indicator(FAMI) has been developed for public facility asset management, and it provides the quantitative management grade, based on international standards, such as ISO 55000 series and International Infrastructure Management Manual(IIMM). The FMMI includes 10 key areas to apply a diagnosis model into management capabilities, 113 detailed elements, and 5 maturity grades. As the importance of public facility asset management is increasing constantly, this is expected to identify previously the strengths and weaknesses of public facility operating institutions. Eventually, they can obtain the effective ways to improve their own capabilities, minimize the public funds, establish the strategies for innovating the current management structures, and operate stably the facilities in the required performance.

Measurement of Carbonation Depth of Concrete in Old Buildings and Experimental Evaluation of Carbonation Degree and CO2 Absorption Using Differential Thermal Gravimetric Analysis, Part2 (노후 건축물의 콘크리트 탄산화 깊이 측정과 시차열 중량분석을 통한 탄산화도 및 CO2 흡수량 실험적 평가, Part2)

  • Lee, Sang-Hyun;Ki, Jun-Do;Cho, Hong-Bum;Park, Chang-Gun;Kim, Young-Sun;Moon, Hyung-Jae
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.317-318
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    • 2023
  • This study is part of the carbonation degree DB accumulation through quantitative analysis of carbonation depth, Ca(OH)2 and CO2 according to the type of finish and years of use of old concrete structures in order to predict the amount of CO2 that can be absorbed through carbonation of concrete. To this end, the depth of carbonation of the concrete core specimen is measured using an indicator, and the dry amount of water combined with CO2 in the sample is measured using a differential thermal gravimetric analyzer for samples in the carbonation area and non-carbonated area classified by the indicator, and the absorption compared to the weight of the sample. The amount of absorbed CO2 was calculated. In addition, the degree of carbonation was calculated through quantitative comparison of Ca(OH)2 in the carbonation section and non-carbonation section. In the future, we will continue to add the survey and analysis data of dismantled structures and use them as basic data for estimating the amount of carbon dioxide that can be absorbed according to the exposure conditions and years of use by concrete mix.

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