• Journal of Korea Multimedia Society
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• v.23 no.7
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• pp.830-839
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• 2020

As a popular mathematical framework for modeling decision making, Markov decision process (MDP) has been widely used to solve problem in many engineering fields. MDP consists of a set of discrete states, a finite set of actions, and rewards received after reaching a new state by taking action from the previous state. The objective of MDP is to find an optimal policy, that is, to find the best action to be taken in each state to maximize the expected discounted reward of policy (EDR). In practice, MDP is typically unknown, so simulation-based policy improvement (SBPI), which improves a given base policy sequentially by selecting the best action in each state depending on rewards observed via simulation, can be a practical way to find the optimal policy. However, the efficiency of SBPI is still a concern since many simulation samples are required to precisely estimate EDR for each action in each state. In this paper, we propose a method to select the best action accurately in each state using a small number of simulation samples, thereby improving the efficiency of SBPI. The proposed method accumulates the simulation samples observed in the previous states, so it is possible to precisely estimate EDR even with a small number of samples in the current state. The results of comparative experiments on the existing method demonstrate that the proposed method can improve the efficiency of SBPI.

• JOURNAL OF ELECTRICAL WORLD
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• no.7 s.103
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• pp.6-9
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• 1985

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.117-128
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• 2015

An organization must restructure itself once it makes outsourcing decisions. Outsourcing is a strategy that a company adopts to direct internal efforts into strengthening its core business processes while contracting other companies for strategically less critical tasks thereby improving organizational production efficiency, and the strategy inevitably involves organizational restructuring. While public service organizations have increasingly embraced outsourcing as well, only a handful of studies analyze the change in efficiency from organizational restructuring. Therefore, this study uses Stochastic Frontier Analysis (SFA) to test whether efficiency improved in Korea Expressway Corporation's restructured branch offices. Korea Expressway Corporation evaluated and grouped its branches based on road extensions management, traffic volume, the number of snow days, road deterioration, and the number of junctions to differentially allocate its personnel and budget. The extent of efficiency improvement in each group was compared, and results show that inefficiency did not exist in any of the groups. The efficiency index among the three group categories was similar across the board; 9 offices in the A-group with its expanded personnel and budget had an efficiency index of 0.954, 12 offices in the B-group with unchanged personnel and budget conditions had an index of 0.950, and 12 offices in the C-group with reduced personnel and budget had an index of 0.937. SFA facilitates efficiency analyses because it does not require pre-restructuring data. This study is easy to apply in practice and empirically tests efficiency improvement in organizational restructuring based on data collected from all the branch offices in Korea Expressway Corporation.

• Journal of Power System Engineering
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• v.17 no.6
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• pp.79-87
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• 2013

The improvement of cooling efficiency for the cabinet of automatic controller is the most efficient method of it's application. Therefore, this study has been analyzed and investigated the improvement of cooling efficiency and reduction of energy for the cabinet of automatic controller, respectively. So this study was conducted to enhancement of cooling efficiency for the cabinet of automatic controller by making a structure which produces difference of air pressures in the entrance tube of external air. And the structure has capacity of the pyrogen source (PTC elements) to make temperature range from $145^{\circ}C$ to $155^{\circ}C$. Consequently, temperatures of the upper, the lower in the interior of the cabinet of automatic controller and the exhaust part were revealed $28.57^{\circ}C$, $23.38^{\circ}C$and $36.14^{\circ}C$(average temperature of the exhaust part in case of existing method : $45^{\circ}C$) in target test of this study, respectively. It was found that the cabinet of the automatic controller has better cooling ability than the cabinet of automatic controller by using an existing method.

• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3682-3694
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• 2022

The expansion of a country's ecological footprint generates resources for economic development. China's import bill and carbon footprint can be reduced by investing in green transportation and energy technologies. A sustainable environment depends on the cessation of climate change; the current study investigates nuclear energy efficiency, economic complexity, air transportation, and industrial improvement for reducing environmental footprint. Using data spanning the years 1983-2016, the dynamic autoregressive distributed lag simulation method has demonstrated the short- and long-term variability in the impact of regressors on the ecological footprint. The study findings revealed that economic complexity in China had been found to have a statistically significant impact on the country's ecological footprint. Moreover, the industrial improvement process is helpful for the ecological footprint in China. In the short term, air travel has a negative impact on the ecological footprint, but this effect diminishes over time. Additionally, energy innovation is negative and substantial both in the short and long run, thus demonstrating its positive role in reducing the ecological footprint. Policy implications can be extracted from a wide range of issues, including economic complexity, industrial improvement, air transportation, energy innovation, and ecological impact to achieve sustainable goals.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.522-524
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• 2004

The improvement of luminance and luminous efficiency is the one of the most important part in AC-PDPs. To achieve high luminance and luminous efficiency, high VUV emission efficiency is needed. We measured the emission spectra of vacuum ultraviolet(VUV) rays in surface discharge AC-PDP with binary and ternary gas mixtures of Ne-Xe and He-Ne-Xe. The influence of He-Ne-Xe gas-mixture ratio on excited $Xe^{\ast}$ resonant atoms and $Xe_2$$^{\ast}$ dimers has been investigated. It is found that luminous efficiency of ternary gas mixture, He-Ne-Xe, is shown to be much higher than that of binary gas mixture of Ne-Xe.

• Current Photovoltaic Research
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• v.2 no.3
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• pp.124-129
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• 2014

Dye-sensitized solar cells (DSSCs) are considered as promising alternatives to conventional photovoltaic device. However, commercialization of the DSSCs is restricted due to the low efficiency. In this paper, highly efficiency DSSCs were fabricated by the adding the TBA to the $TiO_2$ paste. $TiO_2$ photoanode added 0.2 M TBA in DSSCs are shown the best efficiency of 9.14 %. This result ascribed to improvement of the connection between the $TiO_2$ nanoparticles by the addition of the optimized amount TBA. The morphology of the photoanode was observed by FE-SEM. Further investigation about the kinetics of the electrochemical processes are performed by the EIS analysis. Longest diffusion length was obtained in case adding 0.2 M of TBA to $TiO_2$ paste, which was matched well with the improved efficiency.

• Advances in Energy Research
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• v.5 no.3
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• pp.207-217
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• 2017

Energy consumption in agriculture is responsible for greenhouse gas emission but it can be reduced after efficient utilization of energy inputs. Therefore, the present study aims for the estimation of energy efficiency and extent of greenhouse gas reduction after benchmarking of inefficient farms in off-season tomato in Punjab province of Pakistan. Primary data were collected from 70 farmers with simple random sampling. By using data envelopment analysis, the average value of technical, pure technical and scale efficiency was 0.80, 0.92 and 0.87, respectively while increasing, constant and decreasing return to scale was observed in 33, 26 and 11 farmers, respectively. Total input energy was reduced by $12,688.91MJ\;ha^{-1}$ (13.89%) if inefficient farms used the energy inputs according to recommendations or benchmarking. A major portion of energy saving comes from fertilizers (68.79%) followed by diesel (15.70%), chemicals (5.91%), machinery (4.37%) and water (4.00%). Total greenhouse gases reduction was $499.17kg\;CO_2\;eq.ha^{-1}$ (14.57%) as a result of improvement in energy efficiency or benchmarking of inefficient farms. Agricultural extension staff should visit the vegetable farms on regular basis and give necessary information about efficient utilization of energy inputs. The government should create awareness about the optimum use of input through seminars and pamphlets.

• International Journal of Railway
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• v.9 no.2
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• pp.41-45
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• 2016

In this paper, a study on the efficiency improvement of the magnetic levitation train using the LIM (Linear Induction Motor) was presented. The maglev train has the advantage of being environmentally friendly since much less noise and dust is produced. However, due to structural limitation, compared to a rotating induction motor, linear induction motor, the main propulsion engine of the maglev train has a relatively greater air gap and hence has the lower operation efficiency. In this paper, the relationship between the operating condition of the train and the slip frequency has been investigated to find out the optimum slip frequency that might improve the efficiency of the magnetic levitation train with linear induction motor. The slip frequency is variable during the operation by this relationship only within a range that does not affect the levitation system of the train. After that, the comparison of the efficiency between the conventional control method with the slip frequency fixed at 13.5[Hz] and the proposed method with the slip frequency variable from 9.5[Hz] to 6.5[Hz] has been conducted by simulation using Simplorer. Experiments of 19.5[ton] magnetic levitation trains owned by Korea Institute of Machinery and Materials were carried out to verify the simulation results.

• Journal of Soil and Groundwater Environment
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• v.15 no.6
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• pp.53-63
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• 2010

Pneumatic fracturing is an emerging tool to enhance the remediation efficiency of contaminated unsaturated zones by injecting high pressure air and inducing artificial fracture networks. Pneumatic fracturing is reported to be well suited for the cases where the contaminated unsaturated zone thickness is less than 5 m as many contaminated domestic sites in Korea. Nevertheless, there have been almost no studies carried out on the site-specific efficiency and the optimized design of pneumatic fracturing considering the unsaturated zone characteristics of Korea. In this study, we employ numerical simulations to compare the efficiency of pneumatic fracturing on the aspect of the site remediation and the porosity improvement at several hypothetic unsaturated zones composed of four typical soil types. According to the simulation results, it is found that the zone with fine grains soil such as clay and silt shows better efficiency than the zone composed of coarse grains in terms of air flow and porosity enhancements. The results imply that pneumatic fracturing may improve the efficiency of site reclamation by jointly or independently applied to the many contaminated sites in Korea.