• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1392-1403
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• 2015

The rapid development of both communication traffic and increasing optical network sizes has increased energy consumption. Traditional algorithms and strategies don't apply to controlling the expanded network. Immunization algorithms originated from the complex system theory are feasible for large-scale systems based on a scale-free network model. This paper proposes the immunization strategy for complex systems which includes random and targeted immunizations to solve energy consumption issues and uses traffic to judge the energy savings from the node immunization. The simulation results verify the effectiveness of the proposed strategy. Furthermore, this paper provides a possibility for saving energy with optical transmission networks.

• Nuclear Engineering and Technology
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• v.53 no.2
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• pp.430-438
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• 2021

The spatial distribution of neutron flux or reaction rate was calculated by cell or mesh tally in traditional Monte Carlo simulation. However, either cell or mesh tally leads to the increase of memory consumption and simulation time. In this paper, the function expansion tally (FET) method was developed in Reactor Monte Carlo code RMC to solve this problem. The FET method was applied to the tallies of neutron flux distributions of uranium block and PWR fuel rod models. Legendre polynomials were used in the axial direction, while Zernike polynomials were used in the radial direction. The results of flux, calculation time and memory consumption of different expansion orders were investigated, and compared with the mesh tally. Results showed that the continuous distribution of flux can be obtained by FET method. The flux distributions were consistent with that of mesh tally, while the memory consumption and simulation time can be effectively reduced. Finally, the convergence analysis of coefficients of polynomials were performed, and the selection strategy of FET order was proposed based on the statistics uncertainty of the coefficients. The proposed method can help to determine the order of FET, which was meaningful for the efficiency and accuracy of FET method.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.38-44
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• 2020

Storytelling plays a very important role in emotional marketing recently. Storytelling marketing emphasizes a unique story and mythical meaning of the product, rather than its practical function. This is a faithful reflection of what the Dream Society has proposed. In this article, we are researching the consumption value system, and analyze various cases focusing on a coffee advertisement. In particular, by delivering a story, we will concentrate on advertising that appeals to utopian values and discusses the actual impact that it brings. If we communicate utopian values to consumers through various stories, business effects will be maximized, which will strengthen the brand image. The originality of this paper is to discuss the theory of consumption value system positively with the concept of storytelling. Therefore, we will draw conclusions as to which orientation is most ideal for storytelling in advertising. Understanding these business models will help you build an effective marketing strategy for the Dream Society.

• Korean Management Science Review
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• v.26 no.2
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• pp.91-112
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• 2009

Recently, the green business/IT-related issues such as $CO_2$ emission and energy consumption have become spread out rapidly through the world. EU, the United States, Japan and other developed countries are using IT-related environmental regulations as trade barriers. Korea which has high rate of IT exports needs to establish systematic strategies to respond to these environmental regulations. However, it is not easy to find the related research about making green business/IT strategies. This research aims to deduce the green business/IT strategy framework and the suitable green business/IT strategies for the Korean situation. The green business/IT strategy framework is constructed from the analysis of preceding researches and those of the green business/IT strategies of Japan, the United States, and EU. The Korean green business/IT strategies are deduced from survey of experts using Delphi method. We expect that the results contribute to establish the systematic policy and action plan to reduce $CO_2$ emission and energy consumption of IT industry.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.6
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• pp.24-29
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• 2001

Adaptive valve timing control is one of the promising techniques to accomplish the optimized mixture formation and combustion depending on the load and speed, which is needed to meet the future challenges in reducing fuel consumption and exhaust emissions. The behavior and the effect of adaptive valve timing control system has been investigated by computer simulation, which simulates the gas dynamics in engines. Improved fuel economy can be achieved by reduction of pumping loss under low and mid load conditions. EIVC(Early Intake Valve Closing) strategy turns out to be superior to LIVC(Late Intake Valve Closing) strategy in reducing fuel consumption. Deterioration of combustion quality can be overcome by introducing LIVO(Late Intake Valve Opening) strategy, which increases turbulent intensity in cylinders. Furthermore, LIVO can reduce HC emission by decreasing the required amount of fuel to be injected during cold start.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.450-464
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• 2023

To address the problems of large system overhead and low timeliness when dealing with task scheduling in mobile edge cloud computing, a task scheduling and resource management strategy for edge cloud computing based on an improved genetic algorithm was proposed. First, a user task scheduling system model based on edge cloud computing was constructed using the Shannon theorem, including calculation, communication, and network models. In addition, a multi-objective optimization model, including delay and energy consumption, was constructed to minimize the sum of two weights. Finally, the selection, crossover, and mutation operations of the genetic algorithm were improved using the best reservation selection algorithm and normal distribution crossover operator. Furthermore, an improved legacy algorithm was selected to deal with the multi-objective problem and acquire the optimal solution, that is, the best computing task scheduling scheme. The experimental analysis of the proposed strategy based on the MATLAB simulation platform shows that its energy loss does not exceed 50 J, and the time delay is 23.2 ms, which are better than those of other comparison strategies.

• Asia Marketing Journal
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• v.22 no.4
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• pp.1-25
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• 2021

This paper explores how the positive effect achieved when consumption value matches brand benefit can increase brand loyalty. Prior research on consumption value mainly focused on perceived value; these studies omit consumers' views of consumption value. Therefore, this study examines the effect of congruence between consumption values (functional, emotional, social, and ethical value) and perceived brand benefits (enabling, enticing, symbolic, and socially responsible benefits) on consumers' brand identification, trust, and loyalty. We find a positive effect on brand identification and brand trust when a consumer's value is similar to a brand benefit, particularly between functional value and enabling benefit, and ethical value and socially responsible benefit. However, congruence between consumption value and perceived brand benefit only had an indirect effect on brand loyalty by mediating brand identification and trust. This study provides a basis for implementing a marketing strategy to build brand assets and increase brand loyalty by providing consumers with the value they want in a diversified market.

• Nuclear Engineering and Technology
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• v.56 no.1
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• pp.180-188
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• 2024

This research examined consumption-based carbon emission reduction by nuclear energy consumption and environmental tax while considering the context of trade globalization in the highest five emitter nations from 1990 to 2020. This study used various empirical methodologies, including preliminary analysis to check the stationarity and cointegration, the CS-ARDL for long-run analysis, CCEMG, AMG for robustness, and the D-H causality test for short-term pairwise causation. The results indicated that nuclear energy consumption, environmental tax, and trade globalization help to mitigate consumption-based carbon emissions while economic growth and population density boost carbon emissions. Furthermore, the results also found two-way casual connection exists between nuclear energy consumption, population density, and consumption-based carbon emissions. Thus, the results emphasize the need for government policies that encourage nuclear energy and environmental tax as a strategy to reduce carbon emissions and achieve and maintain environmental development.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.3
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• pp.73-82
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• 2017

As of December 2016, the number of registered automobiles in Korea exceeds 21million. As a result, greenhouse gas emission by transportation sector are increasing every year. It was concluded that the development of the driving strategy considering the driving behavior and the road conditions, which are known to affect the fuel efficiency and the greenhouse gas emissions, could be the most effective fuel economy improvement. Therefore, this study aims to develop a fuel efficient driving strategy in a complex linear section with uphill and curved sections. The road topography was designed according to 'Rules about the Road Structure & Facilities Standards'. Various scenarios were selected. After generating the speed profile, it was applied to the Comprehensive Modal Emission Model and fuel consumption was calculated. The scenarios with the lowest fuel consumption were selected. After that, the fuel consumption of the manual driver's driving record and the selected optimal driving strategy were compared and analyzed for verification. As a result of the analysis, the developed optimal driving strategy reduces fuel consumption by 21.2% on average compared to driving by manual drivers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.6
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• pp.1546-1564
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• 2012

Pattern-based query processing has not attracted much attention in wireless sensor network though its counterpart has been studied extensively in data stream. The methods used for data stream usually consume large memory and much energy. This conflicts with the fact that wireless sensor networks are heavily constrained by their hardware resources. In this paper, we use piece wise representation to represent sensor nodes' collected data to save sensor nodes' memory and to reduce the energy consumption for query. After getting data stream's and patterns' approximated line segments, we record each line's slope. We do similar matching on slope sequences. We compute the dynamic time warping distance between slope sequences. If the distance is less than user defined threshold, we say that the subsequence is similar to the pattern. We do experiments on STM32W108 processor to evaluate our strategy's performance compared with naive method. The results show that our strategy's matching precision is less than that of naive method, but our method's energy consumption is much better than that of naive approach. The strategy proposed in this paper can be used in wireless sensor network to process pattern-based queries.