• Journal of Korean Society of Water and Wastewater
• /
• v.33 no.4
• /
• pp.281-289
• /
• 2019

Desalination plants are generally studied with higher operating costs compared to water supply facilities. This study was conducted to reduce the cost of water production and to preserve existing water resources. Therefore, the purpose of this study was to utilize the control valves to increase maximum efficiency, thereby reducing the power of the pumps and operating costs. Specific energy consumption was shown to reduce the process operating power by up to 1.7 times from 6.17 to $3.55kWh/m^3$ based on seawater reverse osmosis 60 bar. In addition, the water intake process was divided into pre, inter, and post-according to the use method of blasting, and the water treatment process was divided into pre, inter, and post blending. In order to reduce power consumption, the blending process was combined to operate the facility, which resulted in the reduction of power consumption in the order post > pre-inter> inter blending.

• The Research Journal of the Costume Culture
• /
• v.8 no.2
• /
• pp.293-304
• /
• 2000

The purpose of this study was to analyze the relationship between materialism and conspicuous consumption, and information sources. Data were administered to 357 women living in Sunchon from June to July 1999. For analysis of the data, factor analysis, t-test, one-way ANOVA, duncan's multiple range test, and multiple regression analysis were employed. The results of this study were summarized as follows. 1) Materialism was shown to have the significant differences according to age, marriage, education, occupation, social stratification groups. The higher the education, occupational status, social stratification groups and the lower the age is, or unmarried, the higher is materialism. The use of information sources were shown to have the significant differences according to age, marriage, education, occupation, income, social stratification groups. The higher the education, income, social stratification groups. The higher the education, income, occupational status, social stratification groups and the lower the age is, or unmarried, the higher is use of information. 2) Materialism was shown to have the significant differences according to the groups of conspicuous consumption. The higher conspicuous consumption is, the higher is materialism. The use of information were shown to have the significant differences according to groups of conspicuous consumption. The higher conspicuous consumption is, the higher is use of information. 3) The use of information were shown to have the significant differences according to materialism. The higher materialism is, the higher is use of information. 4) According to the results of the regression analysis examining the relative influences of variables affecting information, the relative importance of the variables are in order of ; happiness-pursuable materialism, conspicuous consumption and their explanatory power totalled 18.6%.

• The Korean Journal of Community Living Science
• /
• v.23 no.4
• /
• pp.509-522
• /
• 2012

The purpose of this study was to explore the effects of adolescent consumers' attitudes toward money and conspicuous consumption on unethical consumption behavior in commercial transactions. The main survey was conducted targeting 290 middle and high school students. As a result of this research, first in the case of adolescent's attitudes toward money, the symbol for happiness and success was 3.11 and the means of control was 1.77 respectively. The level of conspicuous consumption behavior was 2.75 and the level of unethical consumption behavior scored as passive unethical consumption behavior was 1.38 while the active unethical consumption behavior was 2.10. Second, in the case of the attitude toward money as a means of control, it differentiated according to the level of living and the amount of allowance. Conspicuous consumption behavior differentiated according to the amount of allowance and the father's education. Active unethical consumption behavior showed a difference according to the amount of allowance and the father's education. Multiple linear regression analysis conducted to identify relative effects of the variables that affect unethical consumption behavior, in case of passive unethical consumption behavior, showed that conspicuous consumption(${\beta}$=.23, p<.01) and attitudes toward money as a means of control(${\beta}$=.29, p<.001) with an explanatory power of 18%. In the case of active unethical consumption behavior, showed that sex(${\beta}$=.16, p<.05), father's education(${\beta}$=-.15, p<.05), attitudes toward money as means of control(${\beta}$=.18, p<.5) and conspicuous consumption(${\beta}$=.36, p<.001) with an explanatory power of 26%.

• KEPCO Journal on Electric Power and Energy
• /
• v.2 no.4
• /
• pp.583-588
• /
• 2016

The high-temperature steam pipes of thermal power plants are subjected to severe conditions such as creep and fatigue due to the power plant frequently being started up and shut down. To prevent critical pipes from serious damage and possible failure, inspection methods such as computational analysis and online piping displacement monitoring have been developed. However, these methods are limited in that they cannot determine the life consumption rate of a critical pipe precisely. Therefore, we set out to develop a life assessment system, based on a three-dimensional piping displacement monitoring system, which is capable of evaluating the life consumption rate of a critical pipe. This system was installed at the "M" thermal power plant in Malaysia, and was shown to operate well in practice. The results of this study are expected to contribute to the increase safety of piping systems by minimizing stress and extending the actual life of critical piping.

• Journal of KIISE:Computer Systems and Theory
• /
• v.30 no.12
• /
• pp.724-735
• /
• 2003

In recent high-performance superscalar processors, the result value of an instruction is predicted to improve instruction-level parallelism by breaking data dependencies. Using those predicted values, instructions are speculatively executed and substantial performance can be gained. It, however, requires additional power consumption due to the frequent access and update of the value prediction table. In this paper, first, the trade-off between the performance improvement and the increased power consumption for value prediction is measured and analyzed. And, in order to reduce additional power consumption without performance loss, the technique of controlling speculative execution with confidence counter and predicting useful instructions is developed. Also, in order to prove the validity, a tool is developed that can simulate processor behavior at cycle-level and measure total energy consumption and power consumption per cycle.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.1
• /
• pp.84-93
• /
• 2018

In this paper, we propose an Elman recurrent neural network to predict and analyze a time series of power energy consumption. To this end, we consider the volatility of the time series and apply the sample variance and the detrended fluctuation analyses to the volatilities. We demonstrate that there exists a correlation in the time series of the volatilities, which suggests that the power consumption time series contain a non-negligible amount of the non-linear correlation. Based on this finding, we adopt the Elman recurrent neural network as the model for the prediction of the power consumption. As the simplest form of the recurrent network, the Elman network is designed to learn sequential or time-varying pattern and could predict learned series of values. The Elman network has a layer of "context units" in addition to a standard feedforward network. By adjusting two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicts the power consumption with the relative errors and the average errors in the range of 2%~5% and 3kWh~8kWh, respectively. To further confirm the experimental results, we performed two types of the cross validations designed for the time series data. We also support the validity of the model by analyzing the multi-step forecasting. We found that the prediction errors tend to be saturated although they increase as the prediction time step increases. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric and the gas energies.

• Journal of the Institute of Convergence Signal Processing
• /
• v.12 no.3
• /
• pp.199-203
• /
• 2011

The wireless sensor network (WSN) based on ad hoc network is applied to vehicle parking guide system without parking guide man at area or building with large scale of parking lots. The optimum number of cluster heads was derived for getting the minimum power consumption as well as time delay. Through the theoretical analysis of power consumption and time delay with the number of cluster heads in wireless sensor network, it was found that there exists the minimum point in the variation of power consumption and time delay according to the number of cluster heads.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2007.08a
• /
• pp.58-61
• /
• 2007

We present simulations and results to demonstrate the viability of stainless steel foil as a substrate for low power consumption, flexible AMOLED displays. Using organic planarization layers, we achieve very smooth surface properties, resulting in excellent TFT performance, that can be repetitively flexed without significantly affecting device performance. The use of phosphorescent OLEDs enables the design of low power consumption 40" AMOLED displays.

• Journal of Drive and Control
• /
• v.17 no.2
• /
• pp.38-44
• /
• 2020

Various efforts have been initiated to reduce the energy consumption of the compressor as it is one of the approaches to saving a large portion of the fixed cost of the production site. Various results of reducing the energy consumption of the compressor have been reported, but to reduce the energy consumption of the compressors fundamentally, regular management of the compressor should ensure optimum operation. This requires periodic on-site visits by experts, but is often overlooked as a cost issue, resulting in the use of the compressor in low-efficiency conditions. Thus, it is necessary to develop a low-cost evaluation technology for compressor condition monitoring and efficiency analysis to ensure that the compressor is always driven at the optimum efficiency without imposing undue burden on the compressor user. In this study, a sensor was installed at the inlet, outlet, and power supply of the compressor, and a method for evaluating the energy consumption of the compressor using the minimum sensor was derived. The experimental results are presented to show the validity of the proposed method. It was confirmed that the energy consumption of the compressor can be easily as well as efficiently evaluated by using the method developed in this study.

• Environmental Engineering Research
• /
• v.22 no.2
• /
• pp.175-185
• /
• 2017

As the energy and environmental problems are increasingly severe, researches about carbon dioxide emissions has aroused widespread concern. The accurate prediction of carbon dioxide emissions is essential for carbon emissions controlling. In this paper, we analyze the relationship between carbon dioxide emissions and influencing factors in a comprehensive way through correlation analysis and regression analysis, achieving the effective screening of key factors from 16 preliminary selected factors including GDP, total population, total energy consumption, power generation, steel production coal consumption, private owned automobile quantity, etc. Then fruit fly algorithm is used to optimize the parameters of least squares support vector machine. And the optimized model is used for prediction, overcoming the blindness of parameter selection in least squares support vector machine and maximizing the training speed and global searching ability accordingly. The results show that the prediction accuracy of carbon dioxide emissions is improved effectively. Besides, we conclude economic and environmental policy implications on the basis of analysis and calculation.