• Title/Summary/Keyword: Humidity ratio

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Physicochemical Properties of Chaga (Inonotus obliquus) Mushroom Powder as Influenced by Drying Methods

  • Lee, Min-Ji;Seog, Eun-Ju;Lee, Jun-Ho
    • Preventive Nutrition and Food Science
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    • v.12 no.1
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    • pp.40-45
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    • 2007
  • The effects of drying methods on the physicochemical properties of chaga (Inonotus obliquus) mushroom powder were investigated. Scanning electron micrograph revealed that freeze drying produced smaller particle- sized samples which in turn resulted in higher porosity than did vacuum and hot-air drying. Samples prepared by freeze drying showed a significantly higher L*-value as compared with those prepared by hot-air drying and vacuum drying (p<0.05). The lightness (L*-value) significantly decreased with increasing relative humidity and storage temperature regardless of drying method (p<0.05). The yellowness (b*-value) increased significantly with increasing relative humidity (p<0.05). Browning index was significantly lower in samples prepared by freeze drying (p<0.05) but not significantly different between samples dried by hot-air and vacuum drying. Freeze dried sample exhibited a significantly higher degree of rehydration than other samples (p<0.05) probably due to the small particle size. Water solubility of the freeze dried sample was higher than those of the other methods while swelling ratio of the same sample appeared to be lower than those of others. Freeze dried chaga mushroom powder contained significantly lower amount of total phenolics and total sugar as compared to other samples (p<0.05).

A study on the Sorption Hysteresis of principal woods grown in Korea (한국산주요목재(韓國産主要木材)의 히스테레시스에 관(關)한 연구(硏究))

  • Lee, Phil Woo
    • Journal of Korean Society of Forest Science
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    • v.1 no.1
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    • pp.1-6
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    • 1962
  • Hysteresis Loops explaining relationship between E.M.C. and relative humidities of some commercial woods grown in Korea which have not been inspected were studied. Because of Hysteresis Loops are differently constructed among species, the loop of each species is necessary to plot in order to apply for seasoning of wood directly. Therefore relationship between E.M.C. and relative humidities, and Hysteresis Loops were inspected and compaired between species. Small sized ($3{\times}3{\times}1.3cm$) twenty pieces of wood blocks for each species were taken from log which cut few years ago and already attained air dry condition. Five relative humidity conditions (9, 32, 58, 82 and 91%) were controlled to keep constant in the cabinet under temperature $25^{\circ}C$. According to the results, it is concluded that there are considerable differences on the E.M.C. among two types of sorption, eight species and five different relative humidity conditions. Adsorption and desorption curves are showing characteristic Sigmeid Curves and desorption curves always are on the adsorption curves at all compaired species. Average hysteresis ratio is 0.75, the constructed loops of tested species are showing open hysteresis generally and flatten loop constructions of Qnerets aemitissima and Robinia pseudoaeaeia of hard wood species than other soft wood are considered to be established by differences of stability between hard and soft wood.

Influence of Temperature and Relative Humidity on the Rearing Performance and Disease Incidence in CSR Hybrid Silkworms, Bombyx mori L.

  • Kumari, K.M.Vijaya;Rajan, R.K.;Himantharaj, M.T.;Nataraj, B.;Rekha, M.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.3 no.2
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    • pp.113-116
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    • 2001
  • Fifth instar larvae of the new bivoltine hybrid (CSR2 ${\times}$ CSR5) were reared under different temperature and humidity viz., $20^{\circ}C$ and 85 ${pm}$ 5% R.H (T1), $25^{\circ}C$ and 70 ${pm}$ 5% R.H (T2-Optimum), $30^{\circ}C$ and 80% ${pm}$ 5 R.H (T3) and $35^{\circ}C$and 50 ${pm}$ 5% R.H (T4). The cocoon yield, cocoon characters and disease incidence were studied in normal (non infectious source, i.e control) rearing as well as in 1% infectious source of rearing. The results indicated that V instar larval duration was prolonged and cocoon weight was improved in T1. ERR and shell ratio were significantly improved and disease incidence was minimised in T2. Further significant difference was observed among the treatments with regard to spread of diseases.

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Thermal Insulation of Protective Clothing Materials in Extreme Cold Conditions

  • Mohamed Zemzem;Stephane Halle;Ludwig Vinches
    • Safety and Health at Work
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    • v.14 no.1
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    • pp.107-117
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    • 2023
  • Background: Thermophysiological comfort in a cold environment is mainly ensured by clothing. However, the thermal performance and protective abilities of textile fabrics may be sensitive to extreme environmental conditions. This article evaluated the thermal insulation properties of three technical textile assemblies and determined the influence of environmental parameters (temperature, humidity, and wind speed) on their insulation capacity. Methods: Thermal insulation capacity and air permeability of the assemblies were determined experimentally. A sweating-guarded hotplate apparatus, commonly called the "skin model," based on International Organization for Standardization (ISO) 11092 standard and simulating the heat transfer from the body surface to the environment through clothing material, was adopted for the thermal resistance measurements. Results: It was found that the assemblies lost about 85% of their thermal insulation with increasing wind speed from 0 to 16 km/h. Under certain conditions, values approaching 1 clo have been measured. On the other hand, the results showed that temperature variation in the range (-40℃, 30℃), as well as humidity ratio changes (5 g/kg, 20 g/kg), had a limited influence on the thermal insulation of the studied assemblies. Conclusion: The present study showed that the most important variable impacting the thermal performance and protective abilities of textile fabrics is the wind speed, a parameter not taken into account by ISO 11092.

Predicting the impact of global warming on carbonation of reinforced concrete structures in Zambia and Japan

  • Wanzi A. Zulu;Miyazato Shinichi
    • Advances in concrete construction
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    • v.17 no.5
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    • pp.245-255
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    • 2024
  • The problem of carbonation-induced corrosion has become a concern in recent times, especially in the 21st century, due to the increase in global temperatures and carbon dioxide (CO2) concentration in the atmosphere possessing a significant threat to the durability of reinforced concrete (RC) structures worldwide, especially in inland tropical regions where carbonation is the most significant concrete degradation mechanism. Therefore, a study was conducted to predict the impact of global warming on the carbonation of RC structures in Lusaka, Zambia, and Tokyo, Japan. The Impact was estimated based on a carbonation meta-model that applies the analytic solution of Fick's 1st law using literature-based concrete mix design data and forecasted local temperature and CO2 concentration data over a 100-year period with relative humidity assumed constant. The results showed that CO2 diffusion increased between 17-31%, effecting a 40-45% rise in carbonation coefficient and a significant reduction in corrosion initiation time of 50-52% in the two cities. Moreover, for the same water-cement ratio, Lusaka showed almost twice higher carbonation coefficient values and one third shorter corrosion initiation time compared to Tokyo, mainly due to its higher temperature and low relative humidity. Additionally, the carbonation propagation depth at the end of 100 years was between 12-22 mm in Tokyo and 18-40 mm in Lusaka. These findings indicate that RC structures in these cities are at risk of rapid deterioration, especially in Lusaka, where they are more vulnerable.

Investigation on Flashover Development Mechanism of Polymeric Insulators by Time Frequency Analysis

  • Muniraj, C.;Krishnamoorthi, K.;Chandrasekar, S.
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1503-1511
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    • 2013
  • This paper deals with the analysis of leakage current characteristics of silicone rubber insulator in order to develop a new condition monitoring tool to identify the flashover of outdoor insulators. In this work, laboratory based pollution performance tests are carried out on silicone rubber insulator under ac voltage at different pollution levels and relative humidity conditions with sodium chloride (NaCl) as a contaminant. Min-Norm spectral analysis is adopted to calculate the higher order harmonics and Signal Noise Ratio (SNR). Choi-Williams Distribution (CWD) function is employed to understand the time frequency characteristics of the leakage current signal. Reported results on silicone rubber insulators show that the flashover development process of outdoor polymer insulators could be identified from the higher order harmonics and signal noise ratio values of leakage current signals.

Engineering Properties of Permeable Polymer Concrete Using Bottom Ash and Recycled Coarse Aggregate

  • Sung, Chan-Yong;Kim, Jong-Hyouk
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.7
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    • pp.25-31
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    • 2006
  • Permeable polymer concretes can be applied to roads, sidewalks, river embankment, drain pipes, conduits, retaining walls, yards, parking lots, plazas, interlocking blocks, etc. This study was to explore a possibility of using bottom ash as filler and recycled coarse aggregate of industrial by-products for permeable polymer concrete. The tests carried out at $20{\pm}1^{\circ}C$ and $60{\pm}2%$ relative humidity. At 7 days of curing, unit weight, void ratio, compressive and flexural strength and coefficient of permeability ranged between $1,652{\sim}1,828kgf/m^{3},\;15{\sim}29+%,\;18.2{\sim}24.5\;MPa,\;6.4{\sim}8.4\;MPa\;and\;6.8{\times}10^{-2}{\sim}1.7{\times}10^{-1}\;cm/s$, respectively. It was concluded that the bottom ash and recycled coarse .aggregate can be used in the permeable polymer concrete.

TESTS FOR VARYING-COEFFICIENT PARTS ON VARYING-COEFFICIENT SINGLE-INDEX MODEL

  • Huang, Zhensheng;Zhang, Riquan
    • Journal of the Korean Mathematical Society
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    • v.47 no.2
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    • pp.385-407
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    • 2010
  • To study the relationship between the levels of chemical pollutants and the number of daily total hospital admissions for respiratory diseases and to find the effect of temperature/relative humidity on the admission number, Wong et al. [17] introduced the varying-coefficient single-index model (VCSIM). As pointed out, it is a popular multivariate nonparametric fitting technique. However, the tests of the model have not been very well developed. In this paper, based on the estimators obtained by the local linear technique, the average method and the one-step back-fitting technique in the VCSIM, the generalized likelihood ratio (GLR) tests for varying-coefficient parts on the VCSIM are established. Under the null hypotheses the new proposed GLR tests follow the $\chi^2$-distribution asymptotically with scale constant and degree of freedom independent of the nuisance parameters, known as Wilks phenomenon. Simulations are conducted to evaluate the test procedure empirically. A real example is used to illustrate the performance of the testing approach.

An apt material model for drying shrinkage and specific creep of HPC using artificial neural network

  • Gedam, Banti A.;Bhandari, N.M.;Upadhyay, Akhil
    • Structural Engineering and Mechanics
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    • v.52 no.1
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    • pp.97-113
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    • 2014
  • In the present work appropriate concrete material models have been proposed to predict drying shrinkage and specific creep of High-performance concrete (HPC) using Artificial Neural Network (ANN). The ANN models are trained, tested and validated using 106 different experimental measured set of data collected from different literatures. The developed models consist of 12 input parameters which include quantities of ingredients namely ordinary Portland cement, fly ash, silica fume, ground granulated blast-furnace slag, water, and other aggregate to cement ratio, volume to surface area ratio, compressive strength at age of loading, relative humidity, age of drying commencement and age of concrete. The Feed-forward backpropagation networks with Levenberg-Marquardt training function are chosen for proposed ANN models and same implemented on MATLAB platform. The results shows that the proposed ANN models are more rational as well as computationally more efficient to predict time-dependent properties of drying shrinkage and specific creep of HPC with high level accuracy.

Dyamic Modeling and Analysis of Air Supply System for Vehicular PEM Fuel Cell (고분자 전해질형 연료전지 자동차의 급기 시스템의 동적 모델링 및 분석)

  • Jang, HyunTak
    • Journal of Hydrogen and New Energy
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    • v.15 no.3
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    • pp.175-186
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    • 2004
  • In this paper, we developed the dynamic model of a fuel cell system suitable for controller design and system operation. The transient phenomena captured in the model include the flow characteristics and inertia dynamics of the compressor, the intake manifold filling dynamics, oxygen partial pressures and membrane humidity on the fuel cell voltage. In the simulations, we paid attention to the transient behavior of stack voltage and compressor pressure, stoichiometric ratio. Simulation results are presented to demonstrate the model capability. For load current following, stack voltage dynamic characteristics are plotted to understand the Electro-chemistry involved with the fuel cell system. Compressor pressure and stoichiometric ratio are strongly coupled, and independent parameters may interfere with each other, dynamic response, undershoot and overshoot.