• Journal of Forest and Environmental Science
• /
• v.27 no.2
• /
• pp.119-125
• /
• 2011

Heating value is the one of most important factor in energy use of the woods. This study was investigated for determining the heating value according to the moisture content level(%) of major broad-leaved tree in Korea. Heating value was decreased rapidly regardless the kinds of species (Liriodendron tulipifera, Alnus japonica, and Quercus mongolica) and parts of woods (wood part, and bark) as the moisture content (MC) was increased. In addition, bark had higher heating value than wood part. Liriodendron tulipifera showed the highest heating value among the other two species.

• Analytical Science and Technology
• /
• v.31 no.1
• /
• pp.31-38
• /
• 2018

The energy recovery rate estimation method proposed through the Waste Control Act does not take into account the energy used in practice. In addition, the method for measuring a lower heating value, which is the main factor of the energy recovery rate, was carried out through a small sampling amount, and thus the representative value of the waste was not reflected. With the revised estimation method (Notification No. 2015-215 of the Ministry of Environment), the energy recovery rate should be estimated based on the actual amount of energy used, and a heat balance method was proposed as a way to estimate the lower heating value. In this study, the lower heating value was estimated for seven industrial waste incineration facilities according to the revised estimation method. All data used in the estimations were achieved from measurement instruments applied to each of the incinerators and through direct measurements taken by the operators for the purposes of calculation. As a result, the lower heating value was estimated to be about 3,404.7 kcal/kg for the seven industrial waste incineration facilities.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.34S no.7
• /
• pp.19-27
• /
• 1997

This paper presents the performance analysis of MC-CDMA system in reverse links acquired through the computer simulation. For channel estimation which is essential component of mobile communications, a modified alpha algorithm is proposed to estimate the channel sate for MC-CDMA system. In order to update the channel estimator of each subchannel, the modified algorithm uses the final hard-decision value in the receiver.

• The Korean Journal of Applied Statistics
• /
• v.6 no.1
• /
• pp.79-93
• /
• 1993

We consider adaptive L-estimation of estimating slope parameter in regression model. The proposed estimator is simple extension of trimmed least squares estimator proposed by ruppert and carroll. The efficiency of the proposed estimator is especially well compared with usual least squares estimator, least absolute value estimator, and M-estimators designed for asymmetric distributions under asymmetric error distributions.

• ETRI Journal
• /
• v.28 no.6
• /
• pp.822-825
• /
• 2006

Based on superimposed training methods, a novel time-varying multipath channel estimation scheme is proposed for orthogonal frequency division multiplexing systems. We first develop a linear least square channel estimator, and meanwhile find the optimal superimposed sequences with respect to the channel estimates' mean square error. Next, a low-rank approximated channel estimator is obtained by using the singular value decomposition. As demonstrated in simulations, the proposed scheme achieves not only better performance but also higher bandwidth efficiency than the conventional pilot-aided approach.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2000.04a
• /
• pp.181-188
• /
• 2000

This study deals with the method of test for waterproof agent and admixture of cement, and especially, the effect in bond strength between waterproofing layer and mortar of concrete substrate in building construction. The purpose of this study is that it makes the estimation value of bond strength of concrete wall and anticorrosive when coated waterproof agent and admixture of cement as waterproofing materials for durability performance estimation depend on concrete watertighness.

• Journal of the Korean Data and Information Science Society
• /
• v.15 no.4
• /
• pp.825-835
• /
• 2004

In this paper, we investigate the estimation of the value at risk(VaR) when stock prices are subjected to price limits. The mixture of probability mass functions and beta density functions is proposed to derive the distribution of asset returns. The analyses of real data show that the proposed distribution is appropriate to explain the VaR when the price limits exist in the data.

• Proceedings of the IEEK Conference
• /
• 2002.06c
• /
• pp.203-206
• /
• 2002

We propose the new algorithm for scene segmentation. The proposed system consists motion estimation module and motion segmentation module. The former estimates 2D-motion value for each pixel position from two images transformed by wavelet. The latter determine scene segments well fitting on dominant affine motion models. What distinguishes proposed algorithm from other methods is that it needs not other post-processing for scene segmentation. We can manipulate both multimedia data and objects in virtual environment using proposed algorithm.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1996.11a
• /
• pp.150-156
• /
• 1996

Static variations of cutting forces are estimated using spindle motor current. Static sensitivity of spindle motor current is higher than feed motor current. The linear relationship between the cutting force and RMS value of the spindle motor current is obtained. Using cutting force estimation, tool overload in milling process can be well detected, and cutting force is regulated at a constant level by feedrate adaptive control.

• Journal of Applied Reliability
• /
• v.1 no.2
• /
• pp.175-181
• /
• 2001

Recently, the quality of software has become a major issue. The statistical models used in making predictions about the quality of software are termed software reliability growth models (SRGM). However, the existing SRGMs have not been satisfactory in predicting software reliability behavior (Keiller and Miller(1991), Keiller and Littlewood(1984), Musa(1987)). In this paper, we present a fuzzy-based interval estimation of software errors (failures).