• Title/Summary/Keyword: Determining

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A Multiple-Disseminators Determining Mechanism for Fast Code Dissemination in Wireless Sensor Networks (무선 센서 네트워크에서 빠른 코드분배를 위한 다수분배자 선정 방법)

  • Kim, Mi-Hui;Hong, June-S.
    • Journal of Information Technology Services
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    • v.10 no.2
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    • pp.247-257
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    • 2011
  • In this paper, we propose a multiple-disseminators determining mechanism for Efficient Code Dissemination with low-delay(ECoDi) for wireless sensor networks (WSN). Code dissemination is in the spotlight as an important research issue since sensor nodes are necessary for updating new software remotely or fixing bugs dynamically. In particular, the time factor for code dissemination is the most important factor in order that the normal operation of nodes can be continuously performed as soon as finishing the dissemination. For this factor, ECoDi determines the set of disseminators through regression analysis based on the size of distributed code and the time of past unicasts and broadcasts. Then it transmits the entire code as a unicast to multiple disseminators, and the disseminators broadcast the code to the remaining neighbor nodes. Performance results on a testbed show that ECoDi reduces dissemination time significantly compared to a conventional scheme.

Framework of micro level e-Learning quality dimensions

  • Cho, Eun-Soon
    • International Journal of Contents
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    • v.5 no.2
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    • pp.1-5
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    • 2009
  • This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

Effect of Varied Elevations of Kangwon Province on Growth and Flowering of Hibiscus syriacus (강원도 지역의 고도에 따른 무궁화의 생장 및 개화에 미치는 영향)

  • 이호선;이종석;광병화
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.3
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    • pp.177-185
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    • 1997
  • Hibiscus syriacus were surveyed to study the growing temperature, relative humidity and growing responses shown at different elevations of Kangwon Province, and results of the assessment are summarized as follows 1. Growing responses as represented by leaf length, leaf width, shoot length, number of flowers and flowering duration, were decreased as the elevation increased, while the degree of defoliation was increased. 2. The important factor determining the growing responses to the elevation was the maximum and minimum temperatures, particularly those of July, August, and September. 3. The aphid occurrence on Hibiscus syriacus decreased as the elevation increased. Leading factor determining the population was relative humidity which increased as the elevation increased.

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Adaptive Estimation of Hairy Root Mass Using Conductometry

  • Kim, Ji-Hyeon;Yoo, Young-Je
    • Journal of Microbiology and Biotechnology
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    • v.13 no.5
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    • pp.641-646
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    • 2003
  • An accurate and efficient method for measuring the mass of hairy roots using conductometry is established. A conductivity equation expressed in terms of the concentration of the ion species in the medium is suggested. By using this equation, the effect of the individual ions on the total conductivity can be quantitatively analyzed. An equation for the in situ estimation of the cell growth coefficient for determining the mass of hairy roots is established based on measurements of the nitrogen concentration and conductivity during cultivation. The proposed equation does not require preliminary experiments to determine the cell growth coefficient. Instead, the physiological characteristics of the plant species are reflected by introducing the cellular nitrogen content. Since the cell growth coefficient is determined by measuring the major ionic nutrient concentrations, it is more effective to express the dynamics of an actual culture system. This improved method for determining the mass of hairy roots was successfully utilized in a fed-batch culture system.

Colorimetric Method of Determining Unsaturated Fatty Acids in Animal Tissues (불포화지방산(不飽和脂肪酸)의 비색정량법(比色定量法))

  • Huh,, Rhin-Sou;Chang, In-Ho
    • Journal of Nutrition and Health
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    • v.15 no.1
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    • pp.9-14
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    • 1982
  • The present paper describes a colorimetric method of determining the free and total unsaturated fatty acids in animal tissues. The procedure is based in three steps on the following principles : First step is that the tissue homogenates are extracted in chilled acetone in order to eliminate the interfering substance, such as phospholipids, sulfatides and proteins. At next step, after centrifugation acetone layer is decanted and evaporated to dryness. Then the extract is shaken with heptane to solve in the solvent. That the characteristic nature of copper salts of unsaturated fatty acids are freely soluble in heptane and those of saturated acids are not is the bases of separating one from another. Thus unsaturated fatty acids can be isolated in heptane as their salts from saturated acids and other lipid mixture by shaking with copper reagent. Finally the yellowish brown color developed by adding color reagent (0.2% sodium diethyldithiocarbamate in n-butanol solution) which reacts with the copper salts of the acids and produces the color is measured colorimetrically.

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A Study on The Factors which Influence on Evaluating Service Life for Carbonation of RC Structures (철근콘크리트 구조물의 탄산화 내구수명 산정에 미치는 영향요인에 관한 문헌적 연구)

  • Yang, Jae-Won;Yoon, Sun-Young;Cho, Hyung-Kyu;Song, Hun;Lee, Han-Seung
    • KIEAE Journal
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    • v.10 no.3
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    • pp.103-110
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    • 2010
  • Carbonation is one of the major deterioration factors for concrete. So. lots of researchers have proposed the equations for determining carbonated depth and the initial time of steel corrosion due to carbonation to predict the service life of concrete structures. However, there are large gaps among the equations for predicting carbonation because each researcher has different considering factors to predict carbonation depth. So, in this study, we calculated the deviations of the proposed equations for carbonation, and we calculated each researcher different corrosion initiation time. However, it has a lot of deviation. Therefore, we evaluated the probability of steel corrosion considering each deviation using MCS, an analysis method based on probability theory. In the results, we have proposed much advanced information for determining service life of reinforced concrete structures due to carbonation.

A Study on Enhancing Load Power Factor Effectively Using Load Duration Curves and the Power Factor Sensitivity of Generation Cost (부하지속곡선과 부하역률 감도기법 적용에 의한 효과적인 부하역률개선 연구)

  • Lee, Byung-Ha;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.480-482
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    • 2005
  • In this paper, utilization of load duration curves is presented for analyzing the effect of load power factor and determining the value of load power factor effectively. In addition, the power factor sensitivity of generation cost and integrated costs including voltage variation penalty cost are used for determining the value of the load power factor from the point of view of voltage regulation and economic investment. It is shown through the application to the KEPCO power system that the load power factor can be enhanced effectively and appropriately using the load duration curve.

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A Comparative Study of Determining the Number of Clusters with a Method Proposed (군집수의 예측에 관한 방법의 제안 및 비교)

  • Chae, Seong-San;Lim, Nam-Kyoo
    • The Korean Journal of Applied Statistics
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    • v.18 no.2
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    • pp.329-341
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    • 2005
  • A method of determining the number of clusters is proposed based on some asymptotic results on the Rand's(1971} $C_k$, k = 2, 3, . . ., N - 1, statistic. Simulation is conducted to compare the proposed method with Chae and Warde(1991), and Huh and Lee(2004).

Bayesian Approach for Determining the Order p in Autoregressive Models

  • Kim, Chansoo;Chung, Younshik
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.777-786
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    • 2001
  • The autoregressive models have been used to describe a wade variety of time series. Then the problem of determining the order in the times series model is very important in data analysis. We consider the Bayesian approach for finding the order of autoregressive(AR) error models using the latent variable which is motivated by Tanner and Wong(1987). The latent variables are combined with the coefficient parameters and the sequential steps are proposed to set up the prior of the latent variables. Markov chain Monte Carlo method(Gibbs sampler and Metropolis-Hasting algorithm) is used in order to overcome the difficulties of Bayesian computations. Three examples including AR(3) error model are presented to illustrate our proposed methodology.

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Applications of Diverse Data Combinations in Subsurface Characterization using D-optimality Based Pilot Point Methods (DBM)

  • Jung, Yong;Mahinthakumar, G.
    • Journal of Soil and Groundwater Environment
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    • v.18 no.2
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    • pp.45-53
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    • 2013
  • Many cases of strategically designed groundwater remediation have lack of information of hydraulic conductivity or permeability, which can render remediation methods inefficient. Many studies have been carried out to minimize this shortcoming by determining detailed hydraulic information either through direct or indirect measurements. One popular method for hydraulic characterization is the pilot point method (PPM), where the hydraulic property is estimated at a small number of strategically selected points using secondary measurements such as hydraulic head or tracer concentration. This paper adopted a D-optimality based pilot point method (DBM) developed previously for hydraulic head measurements and extended it to include both hydraulic head and tracer measurements. Based on different combinations of trials, our analysis showed that DBM performs well when hydraulic head is used for pilot point selection and both hydraulic head and tracer measurements are used for determining the conductivity values.