• Journal of Electrical Engineering and Technology
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• v.8 no.2
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• pp.271-281
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• 2013

In order to improve the performance of analysis, it is important to consider the nonlinearity in power system. The Carleman embedding technique (linearization procedure) provides an effective approach in reduction of nonlinear systems. In the approach, a group of differential equations in which the state variables are formed by the original state variables and the vector monomials one can build with products of positive integer powers of them, is constructed. In traditional Carleman linearization technique, the tensor matrix is truncated to form a square matrix, and then regular linear system theory is used to solve the truncated system directly. However, it is found that part of nonlinear information is neglected when truncating the Carleman model. This paper proposes a new approach to solve the problem, by combining the Poincar$\acute{e}$ transformation with the Carleman linearization. Case studies are presented to verify the proposed method. Modal analysis shows that, with traditional Carleman linearization, the calculated contribution factors are not symmetrical, while such problems are avoided in the improved approach.

• KSBB Journal
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• v.16 no.4
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• pp.351-355
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• 2001

The information about organic and biomass fractions in sewage is essential for the optimal operation and model calibration of biological treatment processes. In the respect of that oxygen is directly associated with respiration and growth of biomass as well as substrate reduction, the respirometry is well known as a suitable method for the analysis of wastewater composition and active biomass. Thus, the organic and biomass fractions in sewage were measured using respirometry. The fraction of readily biodegradable substrate, slowly biodegradable substrate, inert soluble substrate and inert particular substrate are about 10-16%, 1-8%, 32-50% and 2-47%, respectively. The active heterotrophic biomass fraction is about 10-24%, but the autotrophic biomass was not detected in influent sewage.

• ETRI Journal
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• v.38 no.5
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• pp.807-817
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• 2016

A novel fast algorithm is suggested for a coding unit (CU) mode decision using pseudo rate-distortion based on a separated encoding structure in High Efficiency Video Coding (HEVC). A conventional HEVC encoder requires a large computational time for a CU mode prediction because prediction and transformation procedures are applied to obtain a rate-distortion cost. Hence, for the practical application of HEVC encoding, it is necessary to significantly reduce the computational time of CU mode prediction. As described in this paper, under the proposed separated encoder structure, it is possible to decide the CU prediction mode without a full processing of the prediction and transformation to obtain a rate-distortion cost based on a suitable condition. Furthermore, to construct a suitable condition to improve the encoding speed, we employ a pseudo rate-distortion estimation based on a Hadamard transformation and a simple quantization. The experimental results show that the proposed method achieves a 38.68% reduction in the total encoding time with a similar coding performance to that of the HEVC reference model.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.27 no.9
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• pp.484-490
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• 2015

The winter stack effect that occurs in vertical construction passages such as the stairwell or elevator shaft of a high-rise building negatively affects living environments, energy usage, and personal safety; therefore, a mitigation of the stack effect is required to improve building conditions. Recently, circulation-type facilities that comprise the usage of air blowers and vertical ducts were proposed as part of a mechanical approach to quantitatively control the stack effect. In this study, these circulation-type facilities were installed in a building stairwell and the performance of the device was evaluated during its operation. A numerical-analysis result was obtained under the test conditions using a network-model-based, numerical-analysis method, and the result was then used for a comparison with the test result.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.3
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• pp.391-399
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• 2010

Purpose: This study was done to examine factors influencing loneliness in the elderly living in nursing homes. Method: The participants for this study were 150 adults, age 60 or over who had lived for one year or longer in two nursing homes in Gwangju. The questionnaires consisted of measurements of activities of daily living (ADL), social support and loneliness. Frequencies, percentages and means were used with Pearson correlation coefficients, t-test, ANOVA, and Scheffe test to analyze the data. The analysis was done with SPSS 12.0 Stepwise multiple regression was used to identify significant factors influencing loneliness in the elderly living in nursing homes. Results: Significant correlations were found between level of ADL and loneliness (r=-0.379, p<.001), support from friends and loneliness (r=-0.472, p<.001), and support from significant others and loneliness (r=-0.449, p<.001). Loneliness was significantly influenced by support from friends, ADL, and support from significant others. This regression model explained 29% of the variances in loneliness. Conclusion: The findings in this study suggest that improvement in support from friends and ADL can lead to a reduction in loneliness in the elderly living in nursing homes.

• The KSFM Journal of Fluid Machinery
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• v.18 no.2
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• pp.54-59
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• 2015

The performance of UV reactor which is used in water treatment is strongly affected by UV fluence rate and water flow in the UV reactor. Therefore, CFD tools are widely used in designing process of UV reactors. This paper describes the development of a computational fluid dynamics (CFD) methodology that can be used to calculate the performance of open channel type UV reactor used in wastewater treatment plant. All computations were performed using commercial CFD code, CFX, by considering three dimensional, steady, incompressible flow. The Eulerian-Eulerian multi-phase method were used to capture the water-air interface. The MSSS model, provided by UVCalc3D, was used to calculate the UV intensity field. The numerical predictions and calculated UV Dose were compared with experimental dataset to validate the CFD methodology. The reactor performance based on MS2 log reduction was well matched with measurements within 6%.

• Journal of Communications and Networks
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• v.18 no.1
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• pp.95-104
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• 2016

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information (CSI) is available at the transmitter. Since there are many antennas, CSI is too large to feed back without compression. To compress CSI, prior work has applied compressive sensing (CS) techniques and the fact that CSI can be sparsified. The adopted sparsifying bases fail, however, to reflect the spatial correlation and channel conditions or to be feasible in practice. In this paper, we propose a new sparsifying basis that reflects the long-term characteristics of the channel, and needs no change as long as the spatial correlation model does not change. We propose a new reconstruction algorithm for CS, and also suggest dimensionality reduction as a compression method. To feed back compressed CSI in practice, we propose a new codebook for the compressed channel quantization assuming no other-cell interference. Numerical results confirm that the proposed channel feedback mechanisms show better performance in point-to-point (single-user) and point-to-multi-point (multi-user) scenarios.

• Earthquakes and Structures
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• v.13 no.1
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• pp.29-38
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• 2017

Stone masonry is one of the oldest construction types due to the natural and free availability of stones and the relatively easy construction. Since stone masonry is brittle, it is also very vulnerable and in the case of earthquakes damage, collapses and causalities are very likely to occur, as it has been seen during the last Italian earthquake in Amatrice in 2016. In the recent years, some researchers have performed experimental tests to improve the knowledge of the behaviour of stone masonry. Concurrently, there is the need to reproduce the seismic behaviour of these structures by numerical approaches, also in consideration of the high cost of experimental tests. In this work, an alternative simplified procedure to numerically reproduce the diagonal compression and shear compression tests on a rubble stone masonry is proposed within the finite element method. The proposed procedure represents the stone units as rigid bodies and the mortar as a plastic material with compression and tension inelastic behaviour calibrated based on parametric studies. The validation of the proposed model was verified by comparison with experimental data. The advantage of this simplified methodology is the use of a limited number of degrees of freedom which allows the reduction of the computational time, which leaves the possibility to carry out parametric studies that consider different wall configurations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.7
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• pp.1380-1386
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• 2003

Speech recognition performance is degraded by the variation in vocal tract length among speakers. In this paper, we have used a vocal tract length normalization method wherein the frequency axis of the short-time spectrum associated with a speaker's speech is scaled to minimize the effects of speaker's vocal tract length on the speech recognition performance In order to normalize vocal tract length, we tried several frequency warping functions such as linear and piece-wise linear function. Variable interval piece-wise linear warping function is proposed to effectively model the variation of frequency axis scale due to the large variation of vocal tract length. Experimental results on TIDIGITS connected digits showed the dramatic reduction of word error rates from 2.15% to 0.53% by the proposed vocal tract normalization.

• Journal of Korean society of Dental Hygiene
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• v.17 no.5
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• pp.779-789
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• 2017

Objectives: This research is to examine the relationship between dental hygienists' exposure to incivility from doctors, bosses, colleagues, patients, their family and visitors, and their turnover intention. Methods: The research was conducted using Nursing Incivility Scale (NIS) and a survey. The survey was conducted from September 10 to October 20, 2015. 240 dental hygienists were conveniently sampled from Forty dental clinics and offices in Seoul, Incheon, Gyeongi-do, and Chungcheog-do. Results: The dental hygienists' exposure to incivility and turnover intention showed correlation (p<0.01), and its sub-factors, - the incivility from colleagues, doctors, patients and visitors - are also correlated with their turnover intention (p<0.01). The strongest factor affecting dental hygienists' turnover intention was incivility from doctors (${\beta}=0.279$, p<0.001), followed by colleagues (${\beta}=0.168$, p=0.029), patients and visitors (${\beta}=0.148$, p=0.026). The modified explanation ability of this model is 24.9%. Conclusions: Dental hygienists' exposure to incivility in workplace is highly correlated to their turnover intention. A program to educate dental hygienists positive mental attitude, communication skill to deal with incivility, and stress reduction method is therefore required in order to reduce their turnover intention.